@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 {786, title = { New Measures of Journal Impact Based on the Number of Citations and PageRank-}, journal = {Journal of Digital Information Management}, volume = {18}, year = {2020}, month = {02/2020}, pages = {11-20}, type = {Research}, chapter = {11}, abstract = {

The number of citations has been used for measuring the significance of a paper. Moreover, we have the following question: which paper is the most important if there are some papers with the same number of citations? Some measures have been introduced to answer this question: one of them is PageRank. We use the Science Citation Index Expanded from 1981 to 2015 to calculate the number of citations and the Google number in the citation network consisting of 34,666,719 papers and 591,321,826 citations. We clarify the positive linear relationship between the number of citations and the Google number, as well as extract some outliers from this positive linear relationship. These outliers are considered to be extremely prestige papers. Furthermore, we calculate the mean values of the number of citations and the Google number for all journals, construct a new measure of journal influence, and extract extremely prestige journals. This new measure has a positive and medium correlation with the impact factor, Eigenfactor score, and SCImago Journal Rank.

}, doi = {https://doi.org/10.6025/jdim/2020/18/1/11-20}, url = {http://dline.info/fpaper/jdim/v18i1/jdimv18i1_2.pdf}, author = {Wataru Souma and Irena Vodenska and Lou Chitkushev} } @article {828, title = {Content Based Text Information Search and Retrieval in Document Images for Digital Library-}, journal = {Journal of Digital Information Management}, volume = {16}, year = {2018}, month = {06/2018}, pages = {136-151}, type = {Research}, chapter = {136}, abstract = {

\ The main objective of this research work is to find the keywords in the captured/scanned print document images in the image database. Document images are becoming more popular in today{\textquoteright}s world and these are used in paperless offices and digital libraries. Information retrieval from the document images is a very challenging task. Hence, there is a need for developing searching strategies to find the required information from these document images as per user{\textquoteright}s needs, becomes very essential in nowadays. Traditionally Optical Character Recognition (OCR) tools are used for information retrieval from the document images, but it{\textquoteright}s not an efficient method. Word spotting is an inventive method for searching the document images and to retrieve relevant information without any conversion. In this work an algorithm Enhanced Dynamic Time Warping was proposed to for finding keywords from document images, it is based on word spotting technique.

}, author = {A. Sakila and S. Vijayarani} } @article {678, title = {Content Based Text Information Search and Retrieval in Document Images for Digital Library}, journal = {Journal of Digital Information Management}, volume = {16}, year = {2018}, month = {06/2018}, pages = {136-151}, type = {Research}, author = {A. Sakila, and S. Vijayarani} } @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 {635, title = {Intention to use Mobile Wallet: Extension of TAM Model}, journal = {Journal of Electronic Systems}, volume = {8}, year = {2018}, month = {03/2018}, pages = {27-34}, type = {Research}, author = {S Krishna Kumar and C Sivashanmugam and Ajay Venkataraman} } @article {496, title = {Automatic detection of nutritional deficiencies in coffee tree leaves through shape and texture descriptors}, journal = {Journal of Digital Information Management}, volume = {15}, year = {2017}, note = {Export Date: 22 February 2018}, month = {2017}, pages = {7 - 18}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016474670\&partnerID=40\&md5=98af0aca341a806d62107e81ef5988db}, author = {Vassallo-Barco, M. and Vives-Garnique, L. and Tuesta-Monteza, V. and Mej{\'\i}a-Cabrera, H.I. and Toledo, R.Y.} } @article {590, title = {Providing mobile traffic analysis as-a-Service: Design of a service-based infrastructure to offer high-accuracy traffic classifiers based on hardware accelerators}, journal = {Journal of Digital Information Management}, volume = {13}, year = {2015}, note = {Cited By :8Export Date: 22 February 2018}, month = {2015}, pages = {256 - 265}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84942523467\&partnerID=40\&md5=be532781710ddddfc3aa468942d2fc76}, author = {Barbareschi, M. and De Benedictis, A. and Mazzeo, A. and Vespoli, A.} } @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 {265, title = {Elementary patterns for converting textual and visual formalisms based on set theory and ORM}, journal = {Journal of Digital Information Management}, volume = {9}, year = {2011}, note = {Cited By (since 1996):2Export Date: 10 July 2014}, month = {2011}, pages = {64 - 71}, abstract = {Textual formalisms, visual formalisms, or both types of formalisms can be used to develop a formal model. The exact syntax and semantics of textual formalisms reduce ambiguity and increase formulation precision. This has as side effect that textual formalisms can become complex and suitable for limited audiences only. Visual formalisms consist of graphical notations with formal semantics. The intuitive and well-organized char acter of such models improves their comprehensibility and eases commu nication. Unfortunately, visual formalisms can become unreadable when the complexity or number of formalisms increases. Conversion patterns are introduced to enable conversion of textual to visual formalisms and vice versa. These patterns can be applied to benefit from the advantages of both ways to represent formalisms. The Object-Role Modeling (ORM) language has been used to develop the visual patterns and the textual formalisms are founded in set theory. While the primary focus of this paper is on the theoretic coupling between textual and visual formalisms, the presented patterns are also materialized and evaluated in two applications. First, an ORM model of the ISO/IEC 19763-5 standard to register information of process models is converted to a textual formal model. Sec ond, a textual formal model of an information market is converted to an ORM variant.}, keywords = {Object Role Modeling, Set theory, Textual formalisms, Visual formalisms}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79960694971\&partnerID=40\&md5=fb5b641c92f12de5340fa890fca9fa44}, author = {Overbeek, S. and van Bommel, P.} } @article {130, title = {A framework for web content management system operations and maintenance}, journal = {Journal of Digital Information Management}, volume = {6}, year = {2008}, note = {Cited By (since 1996):5Export Date: 10 July 2014}, month = {2008}, pages = {342 - 347}, abstract = {Organizations increasingly utilize Web Content Management Systems (WCMS) to improve development speed, online flexibility and cost effectiveness for web applications. However, organizations lack the organizational processes and structure to effectively maintain WCMS. We propose a WCMS Process Framework for the operation and maintenance phase of Web Engineering. In this paper we elaborate on the construction of the framework. It encompasses the description of a generic IT Management framework and the inclusion of Web Content Management processes into a strategic, tactical, and operational level. The framework is validated through an expert validation consisting of three industry experts and a case study at a large Dutch telecommunications services provider. The case study substantiates our vision that the WCMS Process Framework contains a set of process descriptions that effectively supports the operations and maintenance of web applications.}, keywords = {Content management, Information systems maintenance, Web application, Web content management system}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70350000617\&partnerID=40\&md5=06dc0f7329e75809c5441e53f7b39427}, author = {Souer, J. and Honders, P. and Versendaal, J. and Brinkkemper, S.} } @article {78, title = {Domain knowledge based queries for multimedia data retrieval}, journal = {Journal of Digital Information Management}, volume = {5}, year = {2007}, note = {Export Date: 10 July 2014}, month = {2007}, pages = {75 - 81}, abstract = {This paper describes an approach for semantic description and retrieval of multimedia data described by means of MPEG-7. This standard uses XML schema to define the descriptions. Therefore, it lacks ability to represent the data semantics in a formal and concise way and it does not allow integration and use of domain specific knowledge. Moreover, inference mechanisms are not provided and hence the extraction of implicit information is not (always) possible. To address these issues, we propose to add a conceptual layer on top of MPEG-7 metadata layer, where the domain knowledge is represented using a formal language. A set of mapping rules is proposed. They serve as a bridge between the two layers. Querying MPEG-7 descriptions using XML query languages such as XPath or XQuery requires to know MPEG-7 syntax and documents structure. To provide a flexible query formulation, we exploit the conceptual layer vocabulary to express user queries. A user query, making reference to terms specified at the conceptual level, is rewritten into an XQuery expression over MPEG-7 descriptions.}, keywords = {Logic languages, Mapping rules, MEPG-7, Multimedia data descriptions, Ontology, Semantic and structural aspects}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-44849105152\&partnerID=40\&md5=6bf0f55f03c657a4b5b8e32948cc69de}, author = {Hammiche, S. and Lopez, B. and Benbernou, S. and Hacid, M.-S. and Vakali, A.} } @article {69, title = {A robust outlier detection scheme for collaborative sensor networks}, journal = {Journal of Digital Information Management}, volume = {5}, year = {2007}, note = {Cited By (since 1996):1Export Date: 10 July 2014}, month = {2007}, pages = {12 - 18}, abstract = {In-networks, Data Aggregation is usually warranted for distributed wireless sensor networks, owing to reliability and energy efficiency reasons. Sensor nodes are usually deployed in unattended and unsafe environments and hence are vulnerable to intentional or unintentional damages. Individual nodes are prone to different type of faults such as hardware faults, crash faults etc and other security vulnerabilities wherein one or more nodes are compromised to produce bogus data so as to confuse the rest of the network in collaborative sensing applications. The availability of constrained resources and the presence of faulty nodes make designing fault tolerant information aggregation mechanisms in large sensor networks particularly challenging. In our work, we consider Byzantine type of faults, which encompasses most of the common sensor node faults [9]. Faulty nodes are assumed to send inconsistent and arbitrary values to other nodes during information exchange process. These values are termed as outliers and we use a statistical test called Modified Z-score method to reliably detect and remove outliers. We show by simulation that the proposed strategy works well for 2 major classes of collaborative sensor network applications viz. (i) Target/Event detection and (ii) Continuous data gathering.}, keywords = {Data aggregation, Detection accuracy, Distributed information processing, False positives, Fault tolerance, Outliers}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33947305265\&partnerID=40\&md5=2fae284d218d7852052fabf8a0ef68ca}, author = {Jayashree, L.S. and Arumugam, S. and Vijayalakshmi, K.} } @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 {44, title = {A method for incorporating user modelling}, journal = {Journal of Digital Information Management}, volume = {4}, year = {2006}, note = {Export Date: 10 July 2014}, month = {2006}, pages = {136 - 141}, abstract = {In this paper a method is presented for adding user modelling to (existing) software systems. The method consists of seven steps that lead from initial analysis to the definition and evaluation of the elements needed for the adaptive behaviour. Along with the method, the central concepts of adaptation elements and adaptation graphs are introduced. An adaptation element can be used to determine the impact of personalisations, while adaptation graphs describe the adaptation in a system as a whole.}, keywords = {Adaptation graphs, Adaptive hyper media, Software systems, User modeling techniques}, url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-44649122190\&partnerID=40\&md5=81f31d807146f2213cd9d4bec519f998}, author = {de Vrieze, P. and van Bommel, P. and van der Weide, T.} } @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.} }