@article {750, title = {Analysis of ChatGPT as a Question-Answering Tool}, journal = {Journal of Digital Information Management}, volume = {21}, year = {2023}, month = {06/2023}, pages = {50-61}, type = {Research}, chapter = {50}, abstract = {

\ ChatGPT, in recent months, has made a significant impact and exposure in the information world. Many studies have been conducted within a shorter timeframe about its efficiency, reliability, ethics, accuracy and acceptance. Besides, hundreds of opinions and perception-based analyses have also emerged. In this work, we look at the ChatGPT as a question-answering tool. We have used randomly generated prompts to solicit answers and analysed the results from a text analysis angle. The answers are compared with text analysers both manually and statistically. ChatGPT still needs more precision for linguistic effects and fails to meet comprehensive users{\textquoteright} requirements.

}, doi = {https://doi.org/10.6025/jdim/2023/21/2/50-61}, url = {http://www.dline.info/download.php?sn=3758}, author = {Pit Pichappan and M. Krishnamurthy and P. Vijayakumar} } @article {734, title = {Convolutional Neural Networks for Handwritten Text Recognition of Medical Prescription-}, journal = { Journal of Digital Information Management}, volume = {21}, year = {2023}, month = {12/2023}, pages = {117--124}, chapter = {117}, abstract = {

Converting handwritten prescriptions into electronic format offers several advantages and is crucial for modern healthcare systems. It is essential nowadays because of some factors such as {\textendash} Legibility and Accuracy: Handwritten prescriptions can be challenging to read and interpret; accessibility and Portability: Electronic prescriptions can be easily stored; Decision Support Systems: By digitising prescriptions, healthcare systems can integrate them with electronic health records (EHRs) and utilise decision support systems. Convolutional neural networks (CNNs) are a class of deep learning algorithms that have proven effective in extracting handwritten text from various documents, including medical prescriptions. By leveraging CNNs for handwritten text extraction, healthcare systems can automate the process of digitising prescriptions, reducing manual effort and potential human errors. This enables seamless integration with electronic systems, facilitating better patient care and overall healthcare management. In this paper, we have trained the CNN model for different parameters and observed the accuracy and loss for various parameters. We got a maximum training accuracy of 89\% and a maximum testing accuracy of 70\%.

}, doi = {https://doi.org/10.6025/jdim/2023/21/4/117-124}, url = {https://www.dline.info/fpaper/jdim/v21i4/jdimv21i4_3.pdf}, author = {Makarand Shahade and Mayuri Kulkarni and Vivek Pawar and Jatin Chaudhari and Yash Lakade and Darshan Kotkar} } @article {744, title = {Convolutional Neural Networks for Handwritten Text Recognition of Medical Prescription-}, journal = {Journal of Digital Information Management}, volume = {21}, year = {2023}, month = {12/2023}, pages = {117-124}, type = {Research}, chapter = {117}, abstract = {

Converting handwritten prescriptions into electronic format offers several advantages and is crucial for modern healthcare systems. It is essential nowadays because of some factors such as {\textendash} Legibility and Accuracy: Handwritten prescriptions can be challenging to read and interpret; accessibility and Portability: Electronic prescriptions can be easily stored; Decision Support Systems: By digitising prescriptions, healthcare systems can integrate them with electronic health records (EHRs) and utilise decision support systems. Convolutional neural networks (CNNs) are a class of deep learning algorithms that have proven effective in extracting handwritten text from various documents, including medical prescriptions. By leveraging CNNs for handwritten text extraction, healthcare systems can automate the process of digitising prescriptions, reducing manual effort and potential human errors. This enables seamless integration with electronic systems, facilitating better patient care and overall healthcare management. In this paper, we have trained the CNN model for different parameters and observed the accuracy and loss for various parameters. We got a maximum training accuracy of 89\% and a maximum testing accuracy of 70\%.

}, doi = {https://doi.org/10.6025/jdim/2023/21/4/117-124}, url = {http://www.dline.info/download.php?sn=3899}, author = {Makarand Shahade and Mayuri Kulkarni and Vivek Pawar and Jatin Chaudhari and Yash Lakade and Darshan Kotkar} } @article {844, title = {A Design of Chao Phraya Express Boat Route and Tourist Attraction Application On Android-}, journal = {Journal of Digital Information Management}, volume = {20}, year = {2022}, month = {06/2022}, pages = {67-74}, type = {Research}, chapter = {67}, abstract = {

This paper aims to develop a design for the Chao Phraya Express Boat application and evaluate users{\textquoteright} satisfaction with the Chao Phraya Express Boat application. In this paper, the Chao Phraya Express Boat application is developed to search the Chao Phraya Express Boat route, tourist attractions, and travel guide information. This application has been designed to present travel information, route map, timetable and emergency call. The results show that the users can search Chao Phraya Express Boat trip information using the pier{\textquoteright}s name or map. The application can display Chao Phraya Express Boat trip information such as the flag type, the distance between the starting point and the endpoint, timetable, transfer connection, fares and tourist attractions. The conclusion of the assessment of user satisfaction on the Chao Phraya Express Boat application for all the environments, the users have been highly satisfied.

}, doi = {https://doi.org/10.6025/jdim/2022/20/2/67-74}, url = {http://www.dline.info/download.php?sn=3513}, author = {Hathairat Ketmaneechairat and Supakit Thurapan and Sireethorn Phadlom} } @article {774, title = {Incentive Mechanism of Innovation Failure Knowledge Sharing of Virtual Research Organization-}, journal = {Journal of Digital Information Management}, volume = {18}, year = {2020}, month = {10/2020,12/2020}, pages = {194}, type = {Research}, chapter = {184}, abstract = {

\ Purpose Innovation failure knowledge sharing plays an important role in reducing the probability of repeated failure of subsequent innovation and improving innovation ability of virtual research organization. However, it is very difficult for members to actively share the innovation failure knowledge without incentives. This study aims to establish the incentive mechanism of innovation failure knowledge sharing, and promote the sharing behavior of innovation failure knowledge in virtual research organization. Design/methodology/approach By using game theory, considering the risk aversion degree of organization members and the negative effect of innovation fault-tolerance environment, the incentive model of innovation failure knowledge sharing of virtual research organization was constructed, and the incentive relationship of innovation failure knowledge sharing between organization and its members under the influence of different states was analyzed. Findings Without considering the negative effect of innovation fault-tolerant environment, the optimal incentive coefficient of innovation failure knowledge sharing is positively related to the sharing rate of innovation failure knowledge and the transformation ability of innovation failure knowledge of organization members, and negatively related to the sharing cost and risk aversion degree of organization members. Considering the negative effect of innovation fault-tolerant environment, virtual research organization should make a corresponding modification of sharing incentive intensity according to the estimation of tolerance degree to innovation fault-tolerant environment by itself and its members, so as to reduce the knowledge input of organization. Originality/value This study proposes an incentive mechanism of innovation failure knowledge sharing considering the negative effect of innovation fault-tolerant environment, which provides a novel idea and method for the design of incentive mechanism of innovation failure knowledge sharing in virtual research organization.

}, doi = {https://doi.org/10.6025/jdim/2020/18/5-6/184-194}, url = {http://www.dline.info/download.php?sn=3105}, author = {Xiong Zhuang and Wang Pengju} } @article {623, title = {A Comparative Analysis of the Efficiency of Video Reader Object for Frame Extraction in MATLAB}, journal = {Journal of Multimedia Processing and Technologies}, volume = {9}, year = {2018}, pages = {16-21}, author = {M Nachamai and Joy Paulose and Samuel Marandi} } @article {633, title = {Design and Development of Bi-Directional IoT Gateway using ZigBee and Wi-Fi Technologies with MQTT Protocol}, journal = {Journal of Electronic Systems}, volume = {8}, year = {2018}, month = {03/2018}, pages = {1-11}, type = {Research}, author = {Gopi Krishna Popuri and Srinivasa Ravi Kavuluri and Krishnaveni Kommuri} } @article {831, title = {Efficient Management of Community Question Answering Sites using Improved Spectral Clustering {\textendash}}, journal = {Journal of Digital Information Management}, volume = {16}, year = {2018}, month = {04/2018}, pages = {76-84}, type = {Research}, chapter = {76}, abstract = {

Community Question-Answering(CQA) sites are the major platform where posts are generated by peers in the form of questions and answers for information seeking in online environments. In general, multiple posts are created by different users on a particular topic or subject. Large number of posts raises the difficulties in information management of these sites. A number of approaches are suggested in recent research work for efficient management of data for CQA sites. Many of the existing approaches have suggested use of clustering techniques for managing the CQA sites, but ignored the tagging data (user tags) of the posts. In this paper, an improved spectral clustering technique is derived based on similarity measures for text processing (SMTP) and utilized for clustering the posts considering the tagging data available on CQA sites. A specialized data structure, namely, folksonomy is developed for clustering using the relationship between tags, posts and users.

}, url = {http://dline.info/fpaper/jdim/v16i2/jdimv16i2_3.pdf}, author = {Abhishek Kumar Singh and Naresh Kumar Nagwani and Sudhakar Pandey} } @article {653, title = {Efficient Management of Community Question Answering Sites using Improved Spectral Clustering}, journal = {Journal of Digital Information Management}, volume = {16}, year = {2018}, month = {04/2018}, pages = {76-84}, type = {Research}, author = {Abhishek Kumar Singh and Naresh Kumar Nagwani and Sudhakar Pandey} } @article {657, title = {From Words to Emoticons: Deep Emotion Recognition in Text and Its Wider Implications}, journal = {International Journal of Computational Linguistics Research}, volume = {9}, year = {2018}, month = {03/2018}, pages = {10-26}, type = {Research}, author = {Rafal Rzepka and Mitsuru Takizawa and Jordi Vallverdu and Michal Ptaszynski and Pawel Dybala and Kenji Araki} } @article {658, title = {Future Reference Sentence Extraction in Support of Future Event Prediction-}, journal = {International Journal of Computational Linguistics Research}, volume = {9}, year = {2018}, month = {03/2018}, pages = {27-41}, type = {Research}, author = {Yoko Nakajima and Michal Ptaszynski and Hirotoshi Honma and Fumito Masui} } @article {649, title = {Mashup Service Implementation on Multi-cloud Environment Using Map Reduction Approach}, journal = {Journal of Data Processing}, volume = {8}, year = {2018}, month = {03/2018}, pages = {18-26}, type = {Research}, author = {Venkateswara Rao Peddada and Ali Hussain Mohd} } @article {624, title = {Model of {\textquotedblleft}International Megalesson{\textquotedblright} of Learning Programming in Schools of Russia and Kazakhstan}, journal = {Progress in Computing Applications}, volume = {7}, year = {2018}, pages = {1-9}, author = {Zhamilya Akkassynova and Nikolay Pak and Liubov Ivkina}, editor = {Dmitry Romanov} } @article {697, title = {A New Look at the TOR Anonymous Communication System}, journal = {Journal of Digital Information Management}, volume = {16}, year = {2018}, month = {10/2018}, pages = {223-229}, type = {Research}, chapter = {223}, doi = {https://doi.org/10.6025/jdim/2018/5/223-229}, author = {Imran Ahmad and M. Saddique and U. Pirzada and M. Zohaib and A. Ali and M. Khan} } @article {640, title = {Play-driven Design: Model for Engaging Person as in Content Sites}, journal = {Journal of Information Organization}, volume = {8}, year = {2018}, month = {03/2018}, pages = {7-15}, type = {Research}, author = {Angelo P{\'u}blio and Sergio Nesteriuk} } @article {466, title = {Research on flexible customization of business function for intelligent traffic cloud platform}, journal = {Journal of Digital Information Management}, volume = {15}, year = {2017}, note = {Export Date: 22 February 2018}, month = {2017}, pages = {312 - 319}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041029410\&partnerID=40\&md5=4bd92bd9fccdbba84441a3fd6d5cfca8}, author = {Pan, H. and Huang, Z. and He, Z.} } @article {838, title = {Research on Flexible Customization of Business Function for Intelligent Traffic Cloud Platform-}, journal = {Journal of Digital Information Management}, volume = {15}, year = {2017}, month = {12/2017}, pages = {319}, type = {Research}, chapter = {312}, abstract = {

\ According to the flexible customization requirements of Intelligent Traffic Cloud Platform business function, this paper proposed the flexible customized solutions of Intelligent Traffic Cloud Platform based on the business function framework of the existing Intelligent Traffic Cloud Platform. The plan regards the platform business function design and implementation of flexible customization model as the core. The storage of business function customization model is realized based on XML technology. It designs the driving strategy of flexible customization model and realizes the flexible customization of platform business functions. Finally, the feasibility and effectiveness of the proposed scheme is verified by a specific service function on the Intelligent Traffic Cloud Platform.

}, doi = {http://dline.info/fpaper/jdim/v15i6/jdimv15i6_2.pdf}, author = {Hua Pan and Zhongxiang Huang and Zengzhen He} } @article {501, title = {Analysis on cloud data service platform for digital oilfields}, journal = {Journal of Digital Information Management}, volume = {14}, year = {2016}, note = {Export Date: 22 February 2018}, month = {2016}, pages = {413 - 422}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011003724\&partnerID=40\&md5=b4b0c49bf0677be5bce7f05b7c7bc5ae}, author = {Zhu, Z.-P. and Pan, R.-F. and Chen, Z. and Li, G.-Q. and Zheng, G.-S.} } @article {510, title = {Development of the method for integration of mobile applications and corporate information systems}, journal = {Journal of Digital Information Management}, volume = {14}, year = {2016}, note = {Export Date: 22 February 2018}, month = {2016}, pages = {322 - 332}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006152467\&partnerID=40\&md5=89b1522129dfd8af6d4064d4d5346f53}, author = {Ptitsyn, P.S. and Radko, D.V. and Skrypnikov, A.V.} } @article {542, title = {Digital image clustering algorithm based on multi-agent center optimization}, journal = {Journal of Digital Information Management}, volume = {14}, year = {2016}, note = {Cited By :1Export Date: 22 February 2018}, month = {2016}, pages = {8 - 14}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969758522\&partnerID=40\&md5=3b83fba746d28c99ce7100ced473ba0d}, author = {Pan, X. and Sagan, H.} } @article {506, title = {Emonews: An emotional news recommender system}, journal = {Journal of Digital Information Management}, volume = {14}, year = {2016}, note = {Export Date: 22 February 2018}, month = {2016}, pages = {392 - 402}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011002763\&partnerID=40\&md5=8b7f0afd931aaf9ee2688f258598a5ef}, author = {Parizi, A.H. and Kazemifard, M. and Asghari, M.} } @article {520, title = {Hot topic extraction and public opinion classification of tibetan texts}, journal = {Journal of Digital Information Management}, volume = {14}, year = {2016}, note = {Export Date: 22 February 2018}, month = {2016}, pages = {160 - 167}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84982786667\&partnerID=40\&md5=65894d6a0354bc43e13d953109c62b93}, author = {Xu, G. and Qiu, L. and Peng, X.} } @article {534, title = {A novel recommendation strategy for user-based collaborative filtering in intelligent marketing}, journal = {Journal of Digital Information Management}, volume = {14}, year = {2016}, note = {Export Date: 22 February 2018}, month = {2016}, pages = {81 - 91}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974784671\&partnerID=40\&md5=a48f248084cf977768be0931a9ac4d89}, author = {Yi, J. and Zhang, L. and Phelan, C.A.} } @article {522, title = {A three-tier model for structuring of scientific and technical information}, journal = {Journal of Digital Information Management}, volume = {14}, year = {2016}, note = {Export Date: 22 February 2018}, month = {2016}, pages = {184 - 193}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84982841003\&partnerID=40\&md5=103a8995f5b0a7da7a0a3ddad3e28ca7}, author = {Artamonov, A.A. and Ananieva, A.G. and Tretyakov, E.S. and Kshnyakov, D.O. and Onykiy, B.N. and Pronicheva, L.V.} } @article {606, title = {Clustering research across Tibetan and Chinese texts}, journal = {Journal of Digital Information Management}, volume = {13}, year = {2015}, note = {Export Date: 22 February 2018}, month = {2015}, pages = {162 - 168}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938597690\&partnerID=40\&md5=a971739a5ed7e44e809f090f4dd4ade8}, author = {Xu, G.X. and Sun, W. and Peng, X.P.} } @article {591, title = {Optimization of reconstruction of 2D medical images based on computer 3D reconstruction technology}, journal = {Journal of Digital Information Management}, volume = {13}, year = {2015}, note = {Cited By :2Export Date: 22 February 2018}, month = {2015}, pages = {142 - 146}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938604272\&partnerID=40\&md5=1f0030c870b50621048bce878bc27d66}, author = {Liu, S. and Peng, J.} } @article {562, title = {Resource Allocation with Exponential Model Prediction for Server Virtualization}, journal = {Journal of Digital Information Management}, volume = {13}, year = {2015}, note = {Cited By :1Export Date: 22 February 2018}, month = {2015}, pages = {385 - 398}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959858800\&partnerID=40\&md5=c2071f7fd5a13a3d062e5f6fe50386fe}, author = {Prangchumpol, D. and Sophatsathit, P. and Lursinsap, C. and Tantasanawong, P.} } @article {611, title = {Sina weibo incident monitor and Chinese disaster microblogging classification}, journal = {Journal of Digital Information Management}, volume = {13}, year = {2015}, note = {Cited By :3Export Date: 22 February 2018}, month = {2015}, pages = {156 - 161}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938605096\&partnerID=40\&md5=0295a6e5d147150bd11644b6a64fd134}, author = {Bai, H. and Lin, X. and Robinsion, B. and Power, R.} } @article {439, title = {Acupuncture system based on computer techniques and database diagnosis}, journal = {Journal of Digital Information Management}, volume = {12}, year = {2014}, note = {Export Date: 10 July 2014}, month = {2014}, pages = {93 - 101}, abstract = {The paper introduces the EA (electric acupuncture) treatment system based on expert database diagnosis technique. The system is a expert database of automatic reasoning diagnosis by the combining the maximum likelihood method and relation database. It integrates symbolic measurement theory, computer technology and electronic technology, which develops EA needling method by imitating classical acupuncture techniques. The system effectively achieves the integration of diagnosis and treatment.}, keywords = {Acupuncture, Content processing, EA (Electric acupuncture), Expert database, The maximum likelihood method, Video frame processing}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84903169031\&partnerID=40\&md5=043e6726f6964463af5cf04005a78a3d}, author = {Pei, S.-L.} } @article {440, title = {Soft-404 pages, a crawling problem}, journal = {Journal of Digital Information Management}, volume = {12}, year = {2014}, note = {Export Date: 10 July 2014}, month = {2014}, pages = {73 - 92}, abstract = {During its traversal of the Web, crawler systems have to deal with multiple challenges. Some of them are related with detecting garbage content to avoid wasting resources processing it. Soft-404 pages are a type of garbage content generated when some web servers do not use the appropriate HTTP response code for death links making them to be incorrectly identified. Our analysis of the Web has revealed that 7.35\% of web servers send a 200 HTTP code when a request for an unknown document is received, instead of a 404 code, which indicates that the document is not found. This paper presents a system called Soft404Detector, based on web content analysis to identify web pages that are Soft-404 pages. Our system uses a set of content-based heuristics and combines them with a C4.5 classifier. For testing purposes, we built a Soft-404 pages dataset. Our experiments indicate that our system is very effective, achieving a precision of 0.992 and a recall of 0.980 at Soft-404 pages.}, keywords = {Algorithms, Data mining, Design, Link analysis, Performance, Soft-404 error, Statistical properties of the web, Web decay, Web spam}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84903202899\&partnerID=40\&md5=fa1bd1e59e4da6c413c6527da17e6e6b}, author = {Prieto, V.M. and {\'A}lvarez, M. and Cacheda, F.} } @article {450, title = {Study on college student credit evaluation and prediction based on RF algorithm}, journal = {Journal of Digital Information Management}, volume = {12}, year = {2014}, note = {Export Date: 10 July 2014}, month = {2014}, pages = {26 - 30}, abstract = {In the increasingly serious environment of employment of college students, the college student credit evaluation model taking into account of the "basic personal situation", "on-campus situation" and "economic situation" is employed in this paper for the purpose of improving the quality of college student credit education more efficiently, and in addition, a college student credit prediction mechanism based on the improved RF algorithm is put forward, seen from the test result, the accuracy of college student credit prediction of the algorithm is relatively high, and capable to make student credit education more targeted.}, keywords = {Credit evaluation, Prediction mode, Random forest algorithm}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84900433117\&partnerID=40\&md5=50b322efa1e0fc719d4244f770e8918a}, author = {Mu, J. and Xu, L. and Pu, H.} } @article {323, title = {CMCCR: Classification based on multiple class-correlation rules}, journal = {Journal of Digital Information Management}, volume = {10}, year = {2012}, note = {Export Date: 10 July 2014}, month = {2012}, pages = {64 - 70}, abstract = {Previous studies show that associative classification achieves higher classification accuracy than traditional classification approaches. However, associative classification suffers from two major deficiencies and thus sometimes has lower classification accuracy. First, it often generates a large number of rules when the minimum support is set to be low. It is not only time consuming to discover so many itemsets, but also very difficult to select high quality rules from a huge set of rules. Second, the association measure confidence does not reflect correlation relationships between itemsets and the class label. To deal these problems, in this paper, we propose a new classification approach called classification based on multiple class-correlation rules (CMCCR). First, we use both support and all-confidence to mine not only frequent but also mutually associated itemsets. This method not only saves the running time but as well considerably reduces the number of itemsets generated, and thus sharply decreases the number of class-correlation rules produced. Second, we use a new correlation measure correlation confidence to discover class-correlation rules. The measure correlation confidence has two bounds:- 1and 1. It is easy to control the correlation degree of the class-correlation rules found. Finally, we use multiple class-correlation rules and average correlation degree to measure the combined effect of group rules. Experimental results on the mushroom data set show that CMCCR has higher and more stable accuracy than associative classification and decision tree method.}, keywords = {All-confidence, Class-correlation rule, Classification, Correlation confidence}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84866448185\&partnerID=40\&md5=10fb4c8ff12d02f2555fb4ba4c8f5d04}, author = {Zhou, Z. and Wang, X. and Pan, G.} } @article {332, title = {From a system dynamics causal loop diagram to an object-role model: A stepwise approach}, journal = {Journal of Digital Information Management}, volume = {10}, year = {2012}, note = {Cited By (since 1996):1Export Date: 10 July 2014}, month = {2012}, pages = {174 - 186}, abstract = {Two diagrams are most commonly used in System Dynamics (SD); Causal Loop Diagrams (CLDs) and Stock and Flow Diagrams (SFDs). CLDs are qualitative in nature while SFDs are quantitative. In this paper we draw our attention to CLDs. CLDs are visual representation of dynamic influences with inter-relationships amongst a collection of SD variables. They are used to qualitatively capture structures and interactions of feedback loops. CLDs however, have been found to be ambiguous, lack detail and not easy to conceptualize. In this paper therefore, we come up with steps on how to transfer information from a CLD into an Object Role Modeling (ORM) model. We carry out this study to improve CLD model conceptualization, make CLD variables explicit and to reduce on CLD model ambiguity. To achieve this we use ORM, a fact oriented method whose focus is on domain conceptualization through data modeling because of its conceptual focus and roots in verbalization, graphical expressiveness and well defined semantics. To apply and validate these steps, we use a case as an example in focus session setting. From these focus sessions, evaluations and discussion of results are made and finally conclusions are drawn.}, keywords = {Causal loop diagram, Object role model, Object-role modeling, System dynamics}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84866459829\&partnerID=40\&md5=128968f0bcab0a3bc3ebee5e3d62926e}, author = {Tulinayo, F.P.F. and Van Bommel, P.P. and Proper, H.A.E.} } @article {352, title = {Swarm-robot system based on wireless sensor network}, journal = {Journal of Digital Information Management}, volume = {10}, year = {2012}, note = {Cited By (since 1996):4Export Date: 10 July 2014}, month = {2012}, pages = {277 - 283}, abstract = {The study about the swarm-robot system is one of the most important directions of multitudinous robots system. It is an extraordinary challenged issue which how to communicate with each swarm-robot to cooperate together to accomplish a mission in numerous units. The swarm-robot system, which is based on CC2510 wireless sensor network, with the Radio Frequency of FHSS as the communication mode, has realized the swarm-robot unit sensor organ information coordination alternately fleet that improving the stability, interference immunity and transferability. The coordinating scheme possesses availability and practicability has been proved.}, keywords = {CC2510, Coordination, FHSS, Swarm-robot}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84870787456\&partnerID=40\&md5=1543551d520c6b04bd2a82a95ffe8283}, author = {Peng, J.-S. and Li, X. and Qin, Z.-Q. and Li, W.} } @article {289, title = {Reconfiguration of graphical user interface}, journal = {Journal of Digital Information Management}, volume = {9}, year = {2011}, note = {Export Date: 10 July 2014}, month = {2011}, pages = {213 - 218}, abstract = {The usability and the prime value of a software product increases proportionately with the number of different types of users supported and the number of different types of services provided at any one time by the product. The user interface for the product plays a critical role in this context. In this paper, the authors describe a dynamically reconfigurable graphical user interface for a web-based application. The user interface for this application is designed as a collection of controls. The users will not only be able to view selective information from the user interface, but also will be able to rearrange the controls on the user interface. In addition, users will also be able to introduce new controls and modify existing controls on the user interface without manually recompiling the original code thus achieving greater flexibility and saving time. The paper illustrates this dynamic reconfiguration of user interface through a case study on a health care application.}, keywords = {Dynamic reconfiguration, Graphical user interface}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84855393429\&partnerID=40\&md5=b5e09662f0a73d94b82934fd0f54d7df}, author = {Periyasamy, K. and Perkinian, V.} } @article {224, title = {Editorial preface: Special issue on context-aware and mobile multimedia databases and services}, journal = {Journal of Digital Information Management}, volume = {8}, year = {2010}, note = {Export Date: 10 July 2014}, month = {2010}, pages = {2 - 3}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84861465089\&partnerID=40\&md5=7b82f006c7ffa103ca31e784f7cd8bf8}, author = {Grigoras, R. and Charvillat, V. and Chbeir, R. and Kosch, H. and Bailer, W. and Boll, S. and Brunie, L. and Cao, Y. and Delgado, J. and Granitzer, M. and Hausenblas, M. and Eidenberger, H. and Klamma, R. and Lux, M. and Marques, O. and Oria, V. and Plesca, C. and Pr{\'e}teux, F. and Sedes, F. and Spaniol, M. and Ternier, S. and Wolpers, M.} } @article {243, title = {Exploiting multi-word similarity for retrieval in medical document collections: The TSRM approach}, journal = {Journal of Digital Information Management}, volume = {8}, year = {2010}, note = {Cited By (since 1996):1Export Date: 10 July 2014}, month = {2010}, pages = {315 - 321}, abstract = {In this paper, we investigate on potential improvements to Information Retrieval (IR) models related to document representation and conceptual, topic retrieval, in medical document collections. We propose the TSRM1 (Term Similarity and Retrieval Model) approach, where document representations are based on multi-word domain terms, rather than mere single key-words, typically applied in traditional IR. The proposed representation is semantically compact and more efficient, being reduced to a limited number of meaningful multi-word terms (phrases), rather than large vectors of single-words, part of which may be void of distinctive content semantics. In computing document similarity, contrary to other state-of-theart methods examined in this work, TSRM adopts a knowledge poor solution, namely an approach which does not require any existing knowledge resources, such as ontologies, or thesauri. The evaluation of TSRM is based on OHSUMED, a standard TREC collection of medical documents and illustrated the effciency of TSRM over other well established general purpose IR models.}, keywords = {Document representation, Information retrieval, Medical information retrieval, Term extraction, Term Similarity}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79960229245\&partnerID=40\&md5=f9f58b511661960f2a01ed0691084e33}, author = {Drymonas, E. and Zervanou, K. and Petrakis, E.G.M.} } @article {237, title = {A fuzzy grassroots ontology for improving weblog extraction}, journal = {Journal of Digital Information Management}, volume = {8}, year = {2010}, note = {Cited By (since 1996):3Export Date: 10 July 2014}, month = {2010}, pages = {276 - 284}, abstract = {This paper presents fuzzy clustering algorithms to establish a grassroots ontology - a machine-generated weak ontology - based on folksonomies. Furthermore, it describes a search engine for vaguely associated terms and aggregates them into several meaningful cluster categories, based on the introduced weak grassroots ontology. A potential application of this ontology, weblog extraction, is illustrated using a simple example. Added value and possible future studies are discussed in the conclusion.}, keywords = {Fuzzy data clustering, Information retrieval, Ontology, Search engine, Semantic web, Weblog}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77955703451\&partnerID=40\&md5=e96f607ac097bae04e70c3dc44c841f3}, author = {Portmann, E. and Meier, A.} } @article {221, title = {Hierarchical clustering in medical document collections: The BIC-means method}, journal = {Journal of Digital Information Management}, volume = {8}, year = {2010}, note = {Cited By (since 1996):1Export Date: 10 July 2014}, month = {2010}, pages = {71 - 77}, abstract = {Hierarchical clustering of text collections is a key problem in document management and retrieval. In partitional hierarchical clustering, which is more efficient than its agglomerative counterpart, the entire collection is split into clusters and the individual clusters are further split until a heuristicallymotivated termination criterion is met. In this paper, we define the BIC-means algorithm, which applies the Bayesian Information Criterion (BIC) as a domain independent termination criterion for partitional hierarchical clustering. We evaluate the effectiveness of BIC-means in clustering and retrieval on medical document collections and we propose a dynamic version of the BIC-Means algorithm for adapting an existing clustering solution to document additions.}, keywords = {Bayesian information criterion (BIC), Document clustering, Document retrieval, Dynamic clustering, Performance, Termination criterion}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79960667355\&partnerID=40\&md5=87c5599ab55c27b1d1ae1f1f2e76cd6b}, author = {Hourdakis, N. and Argyriou, M. and Petrakis, E.G.M. and Milios, E.E.} } @article {255, title = {Mining the blogosphere to generate cuisine hotspot maps}, journal = {Journal of Digital Information Management}, volume = {8}, year = {2010}, note = {Cited By (since 1996):1Export Date: 10 July 2014}, month = {2010}, pages = {396 - 401}, abstract = {Choosing a restaurant is one of the most frequent decisions faced in modern daily life; however, it is difficult for consumers to choose between food/restaurant by reading large amounts of reviews. This study attempts to generate cuisine hotspot maps through blog content mining to help consumers make restaurant decisions by specialties. The main obstacle in doing this involves recognizing and extracting restaurants and essentialrestaurant information (i.e., restaurant dishes) in unstructured content. In contrast to traditional Named Entity Recognition (NER) targets, dish name is a promising target that received little attention in previous studies. This study develops methods for recognizing and extracting restaurant names and dish names from review postsin the blogosphere and achieves satisfactory performance. Based on the method, we processed more than 12,000 Chinese blog posts and generated a cuisine hotspot map. The map shows the most popular dishes of restaurants in a map-view to help consumers make restaurant decisions. A prototype of cuisine hotspot map, named CuisineGuide, is implemented and available as an iPhone application.}, keywords = {Blog analysis, Hotspots, Name entity recognition, Web content, Web search}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79960266928\&partnerID=40\&md5=4f85ee81adec856534db4c96673f0dbe}, author = {Shih, C.-C. and Peng, T.-C. and Lai, W.-S.} } @article {206, title = {GA and PSO-based resource scheduling for orchestrated, distributed computing}, journal = {Journal of Digital Information Management}, volume = {7}, year = {2009}, note = {Export Date: 10 July 2014}, month = {2009}, pages = {343 - 351}, abstract = {A new distributed computing architecture, Dynamic Virtual Private Network (DVPN), is introduced. The DVM (Dynamic VPN Manager) works as the Autonomous System (AS) administrator in the DVPN system to perform resource scheduling and liaise with the underlying connection management. The approach combines on-demand reservation of both the communications infrastructure and various higherlevel processing facilities. This enables support of orchestrated computing where a complex job can be considered to be a VPN community. This job may be decomposed into tasks to be located at various distributed processing sites. Data can flow between them rather like a production line, in order to deliver the finished "product" to chosen end hosts. Two variants of a resource-scheduling algorithm are proposed for job scheduling in the DVPN system. Genetic Algorithm (GA) and Particle Swarm Optimisation (PSO) mechanisms are considered for use within the optimization process. Simulation results show that both approaches are feasible. The authors then compare the performance of GA against PSO in this dynamic VPN environment to compare their suitability.}, keywords = {GA, Grid computing, Inter-domain, PSO, Resource scheduling, VPN}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79960659450\&partnerID=40\&md5=d9ea15f86f2d90b8c89711571dc61514}, author = {Gao, Y. and Phillips, C. and He, L.} } @article {204, title = {Optimizing Heating system management using an activity-based pervasive application}, journal = {Journal of Digital Information Management}, volume = {7}, year = {2009}, note = {Export Date: 10 July 2014}, month = {2009}, pages = {327 - 335}, abstract = {The greenhouse gas effect has become a major preoccupation worldwide. Heating of buildings and houses is one of the major sources of this effect. We propose to optimize heating control systems by directly integrating the recognition of people{\textquoteright}s activities and context in the process of temperature regulation. We introduce the concept of kinetic-awareness as a way of making a heating control system aware of a user{\textquoteright}s motion in physical space in order to adjust temperature according to their current activities.}, keywords = {Context awareness, Heat control systems, Heating system management}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79960692759\&partnerID=40\&md5=2401f279d8595a2a81a6c410b1bb3ae4}, author = {Bruegger, P. and Pallotta, V. and Hirsbrunner, B.} } @article {190, title = {The role of interoperability in egovernment applications: An investigation of critical factors}, journal = {Journal of Digital Information Management}, volume = {7}, year = {2009}, note = {Cited By (since 1996):2Export Date: 10 July 2014}, month = {2009}, pages = {235 - 243}, abstract = {The aim of this paper is to provide a better understanding on the role of interoperability in eGovernment applications. The focus of interest is on eGovernment applications involving more than one agency or heterogeneous technical infrastructures. The main research objective is to identify a set of critical factors that influence eGovernment interoperability. To fulfil this objective we reviewed the relevant literature and examined 18 case studies of European eGovernment applications where interoperability has a significant role. The results enabled us to identify a number of critical factors categorized as technical, semantic, organizational, political, legal, managerial and economic. We believe that the results of this research can be used by practitioners and researchers alike. Practitioners may use the results as guidance when developing their own applications. Researchers can further extend these results, for example, by attempting to better understand current trends, by identifying additional critical factors and by investigating the relationships between factors.}, keywords = {Critical factors, Interoperability, Public service}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-77953270343\&partnerID=40\&md5=c3757c55a2892aedc09fa0f7b0d14650}, author = {Tambouris, E. and Loutas, N. and Peristeras, V. and Tarabanis, K.} } @article {158, title = {Automating the management of scientific conferences using information mining techniques}, journal = {Journal of Digital Information Management}, volume = {6}, year = {2008}, note = {Cited By (since 1996):2Export Date: 10 July 2014}, month = {2008}, pages = {3 - 11}, abstract = {Conference management systems, which help organizers in carrying out tasks in the workflow, of scientific events are widely used in the academic world. In this paper we focus on tasks where methods from the domain of information retrieval, information management and information organization can assist the organizer, the program committee members and the participants. We present a method for the creation of an improved review process by better matching the reviewers expertise with the paper topics, which can to increase the quality of the conference. Furthermore the conference participants benefit from better access to the wealth of information accumulated throughout a conference series. The Conference organizers profit from the reduced workload because of the partial automating of tedious tasks, such as the review assignment, the compilation of the conference program and the creation of poster setup plans. We report on case studies from a small-sized (around 200 participants), a medium-sized (around 400 participants) as well as a large (more than 700 participants) conference in the computer science as well as the medical domains.}, keywords = {Assignment problem, Automation, Clustering, Information visualization, Self-organizing maps}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-56849090253\&partnerID=40\&md5=bcbf62b3dabc739191df5c6d0fcdad50}, author = {Pesenhofer, A. and Mayer, R. and Rauber, A.} } @article {140, title = {Discriminant parallel feature fusion based on maximum margin criterion for pattern classification}, journal = {Journal of Digital Information Management}, volume = {6}, year = {2008}, note = {Cited By (since 1996):1Export Date: 10 July 2014}, month = {2008}, pages = {203 - 207}, abstract = {In this paper, we propose a novel parallel feature fusion based maximum margin criterion, namely discriminant parallel feature fusion, for pattern classification. The advantage of algorithm lies in: 1) A constrained optimization problem based on maximum margin criterion is created to solve the optimal fusion coefficients, which causes that fused data has the largest class discriminant in the fused feature space. 2) An unique solution of optimization problem is transformed to an eigenvalue problem, which causes the proposed fusion strategy to perform a consistent performance. Besides of the detailed theory derivation, many experimental evaluations also are presented in this paper.}, keywords = {Discriminant parallel feature fusion, Maximum margin criterion, Parallel feature fusion}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-72449120326\&partnerID=40\&md5=45d5e7fee23074133279fb977574a551}, author = {Li, J.-B. and Chu, S.-C. and Pan, J.-S.} } @article {143, title = {In this issue}, journal = {Journal of Digital Information Management}, volume = {6}, year = {2008}, note = {Export Date: 10 July 2014}, month = {2008}, pages = {429}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84865485798\&partnerID=40\&md5=870e1831d3dff4f4d1cdbe08687846b5}, author = {Pichappan, P.} } @article {149, title = {Information hiding and multimedia signal processing}, journal = {Journal of Digital Information Management}, volume = {6}, year = {2008}, note = {Export Date: 10 July 2014}, month = {2008}, pages = {140 - 142}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-72449205976\&partnerID=40\&md5=cf60ca8c2c2cff6aee125963a9d4800c}, author = {Pan, J.-S. and Abraham, A.} } @article {117, title = {Journal of Digital Information Management: In this issue}, journal = {Journal of Digital Information Management}, volume = {6}, year = {2008}, note = {Export Date: 10 July 2014}, month = {2008}, pages = {235}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350725976\&partnerID=40\&md5=2ab88ac93de55c834aae9f68ac1d2af1}, author = {Pichappan, P.} } @article {136, title = {Map integrity constraint verification by using visual language parsing}, journal = {Journal of Digital Information Management}, volume = {6}, year = {2008}, note = {Export Date: 10 July 2014}, month = {2008}, pages = {332 - 341}, abstract = {In the last decade there has been an increasing interest in the use of tools for the creation of geographic maps. However, these tools include functionalities that allow users to insert information without verifying their consistency with the constraints defined by the designer. In this paper we propose an approach based on visual language parsing for guaranteeing the integrity of data produced during the map editing process. According to our approach, constraints are expressed by using high-level data model, such as OMT-G, and converted in a proper visual language grammar automatically. From such a grammar, a parser able to identify incorrect aggregation of spatial data input is generated. The grammar formalism also allows us to associate suitable semantic actions with productions in order to perform automatic corrections of inconsistent input data, error recognition and visualization, prompting actions for error recovery. We also present a system prototype supporting the proposed process.}, keywords = {Data Quality, Grammar Formalism, Integrity Constraint Checking, Spatial Consistency, Topologicalrelationships, Visual Language Parsing}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70349979001\&partnerID=40\&md5=74efb0fc7499a7151d63110ec06db5d6}, author = {Del Fatto, V. and Deufemia, V. and Paolino, L.} } @article {126, title = {Map integrity constraint verification by using visual language parsing}, journal = {Journal of Digital Information Management}, volume = {6}, year = {2008}, note = {Export Date: 10 July 2014}, month = {2008}, pages = {386 - 395}, abstract = {In the last decade there has been an increasing interest in the use of tools for the creation of geographic maps. However, these tools include functionalities that allow users to insert information without verifying their consistency with the constraints defined by the designer. In this paper we propose an approach based on visual language parsing for guaranteeing the integrity of data produced during the map editing process. According to our approach, constraints are expressed by using high-level data model, such as OMT-G, and converted in a proper visual language grammar automatically. From such a grammar, a parser able to identify incorrect aggregation of spatial data input is generated. The grammar formalism also allows us to associate suitable semantic actions with productions in order to perform automatic corrections of inconsistent input data, error recognition and visualization, prompting actions for error recovery. We also present a system prototype supporting the proposed process.}, keywords = {Data Quality, Grammar Formalism, Integrity Constraint Checking, Spatial Consistency, Topological Relationships, Visual Language Parsing}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84865514855\&partnerID=40\&md5=c3f7b43fbb1550bfd3198eec27ecb801}, author = {Fatto, V.D. and Deufemia, V. and Paolino, L.} } @article {119, title = {A smart card based remote user authentication scheme}, journal = {Journal of Digital Information Management}, volume = {6}, year = {2008}, note = {Cited By (since 1996):1Export Date: 10 July 2014}, month = {2008}, pages = {256 - 261}, abstract = {Password based authentication schemes are commonly used to authenticate remote users. Many schemes have been proposed both with and without smart cards but each have Its own merits and demerits. This paper analyzes the security of an enhanced Dynamic ID based remote user authentication scheme and shows that the enhanced scheme has major security weaknesses. The paper also presents a new scheme which overcomes the weaknesses and provides better security strength.}, keywords = {Smart cards, User authentication, User passowords}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350745322\&partnerID=40\&md5=472b89ddad64850ae41b20e57c01c3b9}, author = {Misbahuddin, M. and Premchand, P. and Govardhan, A.} } @article {152, title = {Special issue on digital information management}, journal = {Journal of Digital Information Management}, volume = {6}, year = {2008}, note = {Export Date: 10 July 2014}, month = {2008}, pages = {1 - 2}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-56849108171\&partnerID=40\&md5=967301b4d0cf740733a20c27b70edde4}, author = {Chbeir, R. and Pichappan, P. and Abraham, A.} } @article {81, title = {Linguistic decision analysis based technology project assessment}, journal = {Journal of Digital Information Management}, volume = {5}, year = {2007}, note = {Export Date: 10 July 2014}, month = {2007}, pages = {142 - 151}, abstract = {The problem considered in this paper is that of selecting, from a set of proposals or a subset of projects to be undertaken. Technology project assessment is influenced by a large number of factors, and many times it is hard to measure them in numbers or an objectively way. This paper addresses this by presenting a method for identifying and assessing key project characteristics, which are crucial for a technology project{\textquoteright}s assessment. Fistly, this paper builds a new set of indicators of technology project assessment after analysing the process of it. Secondly, this paper introduces two aggregation operators in the technology project to deal with two situations of technology project assessment respectively, including linguistic and subjective information and pair comparison of preference relation. The methods consist of a number of well-defined steps, which are described in detail. Finally, examples show that the proposed methods with the linguistic decision analysis are useful and provide an understanding way for the decision maker.}, keywords = {Aggregation operator, Linguistic decision analysis, Project assessment, Technology project management}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350651772\&partnerID=40\&md5=e8ae7484b3a035c6754606f8fb3b691b}, author = {Pang, X.-L. and Feng, Y.-Q. and Wei-Jiang} } @article {107, title = {A multilingual query processing system using software agents}, journal = {Journal of Digital Information Management}, volume = {5}, year = {2007}, note = {Export Date: 10 July 2014}, month = {2007}, pages = {385 - 390}, abstract = {The goal of this work was developing a query processing system using software agents. Open Agent Architecture framework is used for system development. The system supports queries in both Hindi and Malayalam; two prominent regional languages of India. Natural language processing techniques are used for meaning extraction from the plain quety and information from database is given back to the user in his native language. The system architecture is designed in a structured way that it can be adapted to other regional languages of India. This system can be effectively used in application areas like e-governance, agriculture, rural health, education, nabonal resource planning, disaster management, information kiosks etc where people from all walks of life are involved.}, keywords = {Database design, Interfaces, Query processing, Software agents}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-49149103443\&partnerID=40\&md5=a0ff33f2cca96dffadef4c9797934125}, author = {Idicula, S.M. and David Peter, S.} } @article {85, title = {Rotation-based three dimensional shape descriptor}, journal = {Journal of Digital Information Management}, volume = {5}, year = {2007}, note = {Export Date: 10 July 2014}, month = {2007}, pages = {138 - 141}, abstract = {Recent developments in techniques for modeling, digitizing and visualizing three dimensional shapes have led to an explosion in the number of available three dimensional models on the Internet and in many domain-specific databases. However, how to describe three dimensional shapes is a difficult problem. A new three dimensional shape description method based on rotation is proposed in this paper. The first step is to sample points on the surface and compute normal vectors. Secondly, we do Gauss mapping and rotate model, at the same time, rotate the Gauss sphere. The third step is to analysis normal distributions on the sphere surface. Then the Euclidean distance is computed, and finally a statistic histogram is constructed. Experimental results show the effectiveness of this method.}, keywords = {3 d space descriptors, Gauss mapping, Three dimensional shapes}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350689502\&partnerID=40\&md5=11b5b46b07b7146eba309aa78ff8f501}, author = {Luo, H. and Chu, S.-C. and Pan, J.-S. and Lu, Z.-M.} } @article {99, title = {Special issue on " web information retrieval" guest editorial}, journal = {Journal of Digital Information Management}, volume = {5}, year = {2007}, note = {Export Date: 10 July 2014}, month = {2007}, pages = {247 - 248}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350680438\&partnerID=40\&md5=855a794997ff155476fad28109d1f3a2}, author = {Ounis, I. and Van Rijsbergen, K. and Pichappan, P.} } @article {86, title = {YCSc: A modified clustering technique based on LCS}, journal = {Journal of Digital Information Management}, volume = {5}, year = {2007}, note = {Cited By (since 1996):2Export Date: 10 July 2014}, month = {2007}, pages = {160 - 166}, abstract = {This paper presents a novel approach to clustering using a simple accuracy-based Learning Classifier System with a modification to the original YCS fitness function has been found to improve the identification of less-separated data sets. Our approach achieves this by exploiting the evolutionary computing and reinforcement learning techniques inherent to such systems. The purpose of the work is to develop an approach to learning rules which accurately describe clusters without prior assumptions as to their number within a given dataset. Favourable comparisons to the commonly used k-means algorithm are demonstrated on a number of datasets.}, keywords = {Evolutionary algorithms, K-means algorithm, Learning classifier systems}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350651771\&partnerID=40\&md5=edb219bf61f63b4fe832f9edf8cde638}, author = {Tamee, K. and Bull, L. and Pinngern, O.} } @article {41, title = {Ad hoc location service for mobile agents}, journal = {Journal of Digital Information Management}, volume = {4}, year = {2006}, note = {Export Date: 10 July 2014}, month = {2006}, pages = {131 - 135}, abstract = {In this paper, we study two implementations of a mobile agent location service in the context of an underlying ad hoc network. More precisely, this service aims at solving the-problem of routing an agent toward a target agent in order to cooperate on a common host. Both the migration number and the tracking time most be minimized by such a service, We compare two implementations based on rumor propagation using either a piggybacking approach or a gossipy agent-based approach. The comparison of the two solutions is based upon simulation results. Performance analysis demonstrates that the piggybacking approach minimizes the response time and the gossipy agent-based approach minimizes the network overhead.}, keywords = {Ad hoc location service, Gossipy agent-based approach, Message routing, Mobile agents, Piggybacking approach}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-44649105784\&partnerID=40\&md5=6a967e33c70a9aac0e38aa107fe2fb47}, author = {Lokpo, I. and Bi, T.G. and Cubat dit Cros, C. and Padiou, G.} } @article {49, title = {Editorial}, journal = {Journal of Digital Information Management}, volume = {4}, year = {2006}, note = {Export Date: 10 July 2014}, month = {2006}, pages = {158}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33749407706\&partnerID=40\&md5=797926d82d7289fb4e88f4899809bc04}, author = {Pichappan, P. and El-Qawasmeh, E.} } @article {57, title = {GraphOnto: OWL-based ontology management and multimedia annotation in the DS-MIRF framework}, journal = {Journal of Digital Information Management}, volume = {4}, year = {2006}, note = {Cited By (since 1996):1Export Date: 10 July 2014}, month = {2006}, pages = {214 - 219}, abstract = {We present here GraphOnto, a software component and an API that allow the definition and editing of both standard-based and domain OWL ontologies and their use in multimedia information system components. In our working environment an OWL Upper Ontology that captures the MPEG-7 MDS is utilized and OWL domain ontologies extend the upper ontology with domain knowledge. The ontologies imported in GraphOnto are parsed so that graphical ontology browsing and editing interfaces are automatically generated. The ontologies are used to guide the semantic multimedia annotation in a standardized manner. OWL Ontology mappings, expressed using OWL constructs, are supported and allow the definition of personalized ontologies. Personalization of the GraphOnto user interface on the application, task and user levels is provided. In addition, GraphOnto interoperates with an MPEG-7 Repository both for semantic entity reuse during multimedia content annotation and for semantic description storage. GraphOnto has been evaluated against Prot{\'e}g{\'e} and clearly outperforms it.}, keywords = {MPEG 7, Ontology, Ontology standards, Semantics}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33845937025\&partnerID=40\&md5=b72758db21f6febb306c3712ffb375fb}, author = {Polydoros, P. and Tsinaraki, C. and Christodoulakis, S.} } @article {50, title = {Peer-to-peer content search supported by a distributed index in a publication/search model}, journal = {Journal of Digital Information Management}, volume = {4}, year = {2006}, note = {Export Date: 10 July 2014}, month = {2006}, pages = {175 - 183}, abstract = {Peer to-peer networks (P2P) are considered a valid approach for the construction of distributed systems. Further research projects in the last few years have focused on using this kind of networks as an alternative for solving different situations that have traditionally required centralized servers, such as search engines. This paper deals with the problem of content search in highly distributed and dynamic environments. We propose and evaluate a distributed index model built upon a peer-to-peer network which supports complete indexing of text documents and allows searching by content. A distinctive feature of this proposal is that it requires no specific network topology or hierarchy. Evaluations with different settings were performed by simulating a 10,000-node network, where each node had the capability to share documents. With regard to the traffic generated, experiments show an improvement in efficiency of between 84\% and 93\% over similar systems like Gnutella. The evaluation of retrieval performance using a test collection showed that the P2P system was able to achieve the same level of performance as the centralized system. It was also found that the amount of traffic generated by this model varies between 80 and 225 Kb per set of query and answers.}, keywords = {Distributed index model, Nodes, P2P network evaluation, P2P networks}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33749394455\&partnerID=40\&md5=1ab83251bfe0f9c3bd58f562a6312336}, author = {Tolosa, G.H. and Peri, J.A. and Bordignon, F.R.A.} } @article {64, title = {Semantic, constraint \& preference based multimedia presentation authoring}, journal = {Journal of Digital Information Management}, volume = {4}, year = {2006}, note = {Cited By (since 1996):3Export Date: 10 July 2014}, month = {2006}, pages = {207 - 213}, abstract = {We present in this paper an integrated system that allows the management and annotation of multimedia objects stored in MPEG-7/21 repositories, and the specification and semi-automatic generation of multimedia presentations based on the content relationships that exist between the multimedia objects. This system is the outcome of the collaboration between the Technical University of Crete (TUC-MUSIC) and the University of Milan (UNIMI) in the CoCoMA (Content and Context Aware Multimedia Content Retrieval, Delivery and Presentation) project of the DELOS II European Network of Excellence on Digital Libraries. The resulting system is one of the main components of the CoCoMA infrastructure that aims to provide content- and context-aware rich interactive multimedia presentations by controlling data fusion and metadata reuse. The integrated system utilizes the SyMPA management and presentation authoring system developed by UNIMI and the DS-MIRF framework developed by TUC-MUSIC.}, keywords = {Authoring tools, Digital libraries, Multimedia presentations, Multimedia standards}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33845937945\&partnerID=40\&md5=762148820f31cebc540800656d2bbd38}, author = {Tsinaraki, C. and Perego, A. and Polydoros, P. and Syntzanaki, A. and Martin, A. and Christodoulakis, S.} } @article {52, title = {On the use of ontologies for an optimal representation and exploration of the web}, journal = {Journal of Digital Information Management}, volume = {4}, year = {2006}, note = {Cited By (since 1996):5Export Date: 10 July 2014}, month = {2006}, pages = {159 - 168}, abstract = {The use and definition of ontology for the representation and the exploration of knowledge are critical issues for approaches dealing with information retrieval. In this paper, we propose a new ontology-based approach for improving the quality, in terms of relevance, of the results obtained when searching documents on the Internet. This is done by a coherent integration of ontologies, Web data and query languages. We propose new data structures built upon ontologies: the WPGraph and the W 3Graph which allow Web data to be modelled. We also discuss the use of ontologies for an efficient exploration of the knowledge contained in our conceptual structures using ASK, a specific query language introduced in this paper. An experimental validation of our approach is proposed through a prototype supporting our innovative framework.}, keywords = {Conceptual structures, Graphs, Ontology, Query language, Web search}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33749389716\&partnerID=40\&md5=2881871777661cd78d3507f448bedc32}, author = {Guelfi, N. and Pruski, C.} } @article {47, title = {Using BFA with wordnet based model for web retrieval}, journal = {Journal of Digital Information Management}, volume = {4}, year = {2006}, note = {Cited By (since 1996):1Export Date: 10 July 2014}, month = {2006}, pages = {107 - 111}, abstract = {In the area of information retrieval, the dimension of document vectors plays an important role. We may need to find a few words or concepts, which characterize the document based on its contents, to overcome the problem of the "curse of dimensionality", which makes indexing of high-dimensional data problematic. To do so, we earlier proposed a Wordnet and Wordnet+LSI (Latent Semantic Indexing) based model for dimension reduction. While LSI works on the whole collection, another procedure of feature extraction (and thus dimension reduction) exists, using binary factorization. The procedure is based on the search of attractors in Hopfield-like associative memory. Being applied to textual data the procedure conducted well and even more it showed sensitivity to the context in which the words were used. In this paper, we suggest that the binary factorization may benefit from the Wordnet filtration.}, keywords = {Latent semantic indexing, Ontology, Semantic web, Vector model, Web information retrieval, WordNet}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-44649186320\&partnerID=40\&md5=84c389a9e2d0c1be0cd8ecdb6b1534ec}, author = {Sn{\'a}{\v s}el, V. and Moravec, P. and Pokorn{\'y}, J.} } @article {60, title = {X-Similarity: Computing Semantic Similarity between concepts from different ontologies}, journal = {Journal of Digital Information Management}, volume = {4}, year = {2006}, note = {Cited By (since 1996):25Export Date: 10 July 2014}, month = {2006}, pages = {233 - 237}, abstract = {Semantic Similarity relates to computing the similarity between concepts (terms) which are not necessarily lexically similar. We investigate approaches for computing semantic similarity by mapping terms to an ontology and by examining their relationships in that ontology. More specifically, we investigate approaches to computing the semantic similarity between natural language terms (using WordNet as the underlying reference ontology) and between medical terms (using the MeSH ontology of medical and biomedical terms). The most popular semantic similarity methods are implemented and evaluated using WordNet and MeSH. The focus of this work is also on cross ontology methods which are capable of computing the semantic similarity between terms stemming from different ontologies (WordNet and MeSH in this work). This is a far more difficult problem (than the single ontology one referred to above) which has not been investigated adequately in the literature. X-Similarity, a novel cross-ontology similarity method is also a contribution of this work. All methods examined in this work are integrated into a semantic similarity system which is accessible on the Web.}, keywords = {Content analysis, MeSH, Ontology, Semantics, WordNet}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33845952568\&partnerID=40\&md5=5bd213d7f778b7c4e7b32133f4b456f8}, author = {Petrakis, E.G.M. and Varelas, G. and Hliaoutakis, A. and Raftopoulou, P.} }