@article {339,
	title = {Webbing semantified scholarly communication datasets for improved resource discovery},
	journal = {Journal of Digital Information Management},
	volume = {10},
	year = {2012},
	note = {Export Date: 10 July 2014},
	month = {2012},
	pages = {245 - 253},
	abstract = {The success of Linked Data project has played a vital role in the realization of the Semantic Web on a global stage. It has motivated people to publish datasets which are important for information linking, resource discovery and can further make contributions in shaping the Web as a single connected data space. This effort has successfully amassed a variety of Linked Data and has introduced many novel ways for the publishing of data. As a result, putting Linked Data online has become rather easy, but actually linking the data with already existing data in the cloud and further on presentation of post-interlinking data are still researchable challenges. The search and identification of relevant datasets as well as devising a strategy for linking to these datasets with post-organization of interlinked data for human perceivable presentation is still a difficult task. In this paper, a novel approach is presented which 1) highlights and implements the steps involved in the interlinking process and 2) proposed a proof of concept application for automatic generation of an organized profile for post interlinked data presentation. These approaches are applied and presented as a case study focusing on interlinking scholarly communication datasets and highlighting the potential benefits of Linked Data. This study has interlinked two semantified scholarly datasets and was successfully able to discover new resources which were further organized into profile for showcasing potentials of Linked Data.},
	keywords = {Case study, Interlinking scholarly datasets, Linked Open Data (LOD), Semantic web},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84866447762\&partnerID=40\&md5=15e762eee3e9e8e6b5060785d45a923c},
	author = {Latif, A. and Tochtermann, K.}
}
@article {285,
	title = {A combined measure of semantic web and meta tag technology for web retrieval},
	journal = {Journal of Digital Information Management},
	volume = {9},
	year = {2011},
	note = {Export Date: 10 July 2014},
	month = {2011},
	pages = {219 - 222},
	abstract = {Increasingly web is used for tracking numerous information pieces of large and complex data. Normal way of accessing these sources using web search engines has many limitations and we have enough literature to document them. This study is an enhancement to trap the discovery of targeted information pieces which are normally failed cases in search engines. We use an integrated approach of conventional web search and semantic web by carefully constructed algorithms. The algorithms are tested to track data about the gulf institutions. The experiments provide encouraging results and enable us to draw future directions of research in this domain.},
	keywords = {Gulf institutions, Institutions profiles, Semantic web, Web construct data},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84855373332\&partnerID=40\&md5=941434981b3a9f7b76faa977d407fee3},
	author = {Al Reyaee, S.}
}
@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 {234,
	title = {Harvesting pertinent resources from Linked Open Data},
	journal = {Journal of Digital Information Management},
	volume = {8},
	year = {2010},
	note = {Cited By (since 1996):5Export Date: 10 July 2014},
	month = {2010},
	pages = {205 - 212},
	abstract = {Linked Open Data (LOD) is becoming an essential part of the Semantic Web. Although LOD has amassed large quantities of structured data from diverse, openly available data sources, there is still a lack of user-friendly interfaces and mechanisms for exploring this huge resource. In this paper, we describe a methodology for harvesting relevant information from the gigantic LOD cloud. The methodology is based on combination of information: identification, extraction, integration and presentation. Relevant information is identified by using a set of heuristics. The identified information resource is extracted by employing an intelligent URI discovery technique. The extracted information is further integrated with the help of a Concept Aggregation Framework. Then the information is presented to end users in logical informational aspects. Thereby, the proposed system is capable of hiding complex underlying semantic mechanics from end users and reducing the users{\textquoteright} cognitive load in locating relevant information. In this paper, we describe the methodology and its implementation in the CAF-SIAL system, and compare it with the state of the art.},
	keywords = {CAF-SIAL, Information presentation, Information retrieval, Linked Open Data (LOD), Semantic web, URI, User interfaces},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79960685735\&partnerID=40\&md5=cc886d4db44fdc4f20722b7621aca818},
	author = {Latif, A. and Afzal, M.T. and Saeed, A.U. and Hoefler, P. and Tochtermann, K.}
}
@article {123,
	title = {Towards an on- Line semantic information retrieval system based on Fuzzy Ontologies},
	journal = {Journal of Digital Information Management},
	volume = {6},
	year = {2008},
	note = {Cited By (since 1996):7Export Date: 10 July 2014},
	month = {2008},
	pages = {375 - 385},
	abstract = {The huge number of available documents on the Web makes finding relevant ones a challenge. Thus, searching for information becomes more and more complex because of the growing volume of data and of its lack of structure. The quality of results that traditional full-text search engines provide is still not optimal for many types of user queries. Especially, the ambiguities of natural languages and abstract concepts are handled inadequately by full-text search engines. Ontologies provide a solution to these problems. They can help a user to find documents related to a specific domain. This paper proposes a new retrieval system based on ontologies. This system integrates results from traditional full-text engines, and thus supports a gradual transition from classical full-text search engines to ontology-based ones.},
	keywords = {Fuzzy ontologies, In formation retrieval, Ontologies, Semantic web},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-79952825348\&partnerID=40\&md5=8f3f224f39ca945c15dffeedf6099fad},
	author = {Baazaoui, H. and Aufaure, M.-A. and Soussi, R.}
}
@article {29,
	title = {Automatic and flexible web services discovery in semantic web},
	journal = {Journal of Digital Information Management},
	volume = {4},
	year = {2006},
	note = {Export Date: 10 July 2014},
	month = {2006},
	pages = {22 - 25},
	abstract = {The main objective of the semantic web is to make the interoperation among web services or between users and web services more automated and flexible. The basic step toward the interoperation is that users or web services can discover their required web services. In this paper we present a practical application on Semantic Web and Web Services concepts where a flexible and automatic matching procedure in e-learning is shown. We illustrate how the requirements, web services and domain knowledge are described in machine-understandable forms to support the automatic and flexible discovery of web services. Then a matchmaking algorithm based on the semantic information is proposed. Finally the design and implementation of a prototype for the automatic discovery of web services is described.},
	keywords = {Discovery, Elearning, Semantic web, Web service},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33748262446\&partnerID=40\&md5=f576cda3c55219ff4617a04d7dcb8d8f},
	author = {Lu, L. and Chen, J. and Zhu, G.}
}
@article {35,
	title = {The designing of web services to deliver web documents associated with historical links},
	journal = {Journal of Digital Information Management},
	volume = {4},
	year = {2006},
	note = {Export Date: 10 July 2014},
	month = {2006},
	pages = {11 - 15},
	abstract = {The historical links of a web site include the URLs invalidated due to web site reorganization, document removal, renaming or relocation, or links to document snapshots, which are defined as the document{\textquoteright}s contents as of a specific point in time. Tracking historical links will allow users to use out-of-date URLs, retrieve removed documents and document snapshots. This paper presents a logging and archiving scheme to track a source document{\textquoteright}s history of changes, and designs web services to deliver the source document associated with a historical link.},
	keywords = {Concept mapping, Hyper space, Information extraction, Knowledge discovery, Semantic web, Web knowledge discovery, Web navigation},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33748275472\&partnerID=40\&md5=8f950d21d3b688c9a0c1bb1159d7a54d},
	author = {Chao, D. and Gill, S.}
}
@article {30,
	title = {Hybrid storage scheme for RDF data management in Semantic Web},
	journal = {Journal of Digital Information Management},
	volume = {4},
	year = {2006},
	note = {Export Date: 10 July 2014},
	month = {2006},
	pages = {32 - 36},
	abstract = {With the advent of the Semantic Web as the next-generation of Web technology, large volumes of Semantic Web data described in RDF will appear in the near future. Most previous approaches treat RDF data as a form of triple and store them in a large-sized relational table. Basically, since it always requires the whole table to be scanned for processing a query, it may degrade retrieval performance. In addition, it does not scale well. In this paper, we propose a hybrid storage approach for RDF data management. The proposed approach aims to provide good query performance, scalability, manageability, and flexibility. To achieve these goals, we distinguish some frequently appeared properties in RDF data. A set of RDF data with a distinguished property is independently treated and stored together in a corresponding property-based table. For processing a query having a specific property, we can avoid full scanning the whole data and only have to access a corresponding table. For queries having specific properties, the proposed scheme achieves better performance than the previous approach.},
	keywords = {Data storage scheme, RDF data management, Semantic web},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33748257249\&partnerID=40\&md5=6e21f3861ea8e8149f8df1878a0aaabc},
	author = {Kim, S.W.}
}
@article {24,
	title = {HyperMap: A system to map the web},
	journal = {Journal of Digital Information Management},
	volume = {4},
	year = {2006},
	note = {Export Date: 10 July 2014},
	month = {2006},
	pages = {4 - 10},
	abstract = {This paper presents the HyperMap system which dynamically structures information on the Web. The system is based on a framework resulting from multidisciplinary research, which is briefly discussed. This paper focuses work done to develop a new generation of computational tools able to support the extraction and the discovery of useful information on the Web, becoming agents of innovation and development.},
	keywords = {Concept mapping, Hyper space, Information extraction, Knowledge discovery, Semantic web, Web knowledge discovery, Web navigation},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33748283744\&partnerID=40\&md5=0ae6894b5de7bbb54ba63e4ce6b1f95c},
	author = {Ralha, C.G. and Ralha, J.C.L.}
}
@article {33,
	title = {RDF-based peer-to-peer based ontology editing},
	journal = {Journal of Digital Information Management},
	volume = {4},
	year = {2006},
	note = {Export Date: 10 July 2014},
	month = {2006},
	pages = {50 - 55},
	abstract = {The evolution of the Semantic Web has accelerated the need for ontologies. There is a need to build new ontologies and to extend and merge existing ontologies. To achieve this we need software tools to edit and build ontologies. Our paper describes software to develop a protocol for collaborative ontology editing based on RDF and using a Peer-to-Peer (P2P) networking architecture. The protocol allows for the implementation a voting mechanism embedded into the RDF data itself, using a mixed initiative design for notification. This is implemented as extensions to an ontology browser called OntoRama. The P2P approach is compared to the classic ontology editing approaches and the special requirements of the ontology editing environment are discussed. The protocol, design, implementation and architecture for ontology update are also elaborated.},
	keywords = {Network protocol, Ontology, P2P network architecture, RDF data, Semantic web},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33748271282\&partnerID=40\&md5=6e01c9d91afd3edb7ba6d4f2ba608881},
	author = {Becker, P. and Eklund, P. and Roberts, N.}
}
@article {28,
	title = {Semantic indexing and hyperlinking of multimedia news: The RitroveRAI system},
	journal = {Journal of Digital Information Management},
	volume = {4},
	year = {2006},
	note = {Export Date: 10 July 2014},
	month = {2006},
	pages = {63 - 72},
	abstract = {Web services tend to offer functional and non-functional requirements and capabilities in an agreed, machine-readable format. The target is to provide automated services for discovering, selection and binding of information as a native capability of middleware and applications. However, the major limitations are due to the lack of clear and processable semantics. In this paper, a system, RitroveRAI, addressing the general problem of enriching a multimedia news stream with semantic metadata is presented. News metadata are explicitly derived from transcribed sentences or implicitly expressed into a topical category automatically detected. The enrichment process is accomplished by aligning individual audiovisual segments with news or journal articles reachable trough the Web. This distributed process designed for RitroveRAI enables several extensions in light of large scale and public access performance as suggested in the discussion of the evaluation results of our current system.},
	keywords = {Hyper link structure, Meta data, Multimedia indexing, RitroveRAI, Semantic web, Web services},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33748253466\&partnerID=40\&md5=05e5487b09fcb109fd3c282449982ec4},
	author = {Basili, R. and Cammisa, M. and Donati, E. and Moschitti, A.}
}
@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.}
}
