@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 {151,
	title = {Application schema mapping based on ontology: An approach for geospatial data storage},
	journal = {Journal of Digital Information Management},
	volume = {6},
	year = {2008},
	note = {Export Date: 10 July 2014},
	month = {2008},
	pages = {51 - 60},
	abstract = {The heterogeneous nature of geospatial data makes the sharing of it across organizations a complex issue. As a standard means of geospatial data encoding, Geography Markup Language (GML) has been proposed by Open Geospatial Consortium (OGC), which facilitates sharing and exchange of geospatial information. With the proliferation of GML in many geospatial applications and storage support from the standard DBMS, the need arises for the efficient storage mechanism of GML data. This paper analyses. approaches for XML data storage in traditional DBMS and proposes alternative solutions for GML. Every GML document structure is defined in an application schema. We propose an approach for GML storage based on the analysis of the underlying application schema. A semi-automatic mapping mechanism has been proposed for the application schema to relational schemas of standard database with the utilization of the domain ontology. A set of relational schema is presumed to exist for different geospatial features. The proposed ontology based schema-matching approach for GML storage enhances the mapping process, thus facilitates sharing of heterogeneous data repositories.},
	keywords = {GML storage, OGC Standards, Ontology, Schema Mapping, Spatial Data Interoperability},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-56849122330\&partnerID=40\&md5=d3859ad1904574ca7d3094b2262d4952},
	author = {Manoj, P. and Ghosh, S.K.}
}
@article {134,
	title = {A forum-based organizational memory as organizational learning support},
	journal = {Journal of Digital Information Management},
	volume = {6},
	year = {2008},
	note = {Cited By (since 1996):2Export Date: 10 July 2014},
	month = {2008},
	pages = {303 - 306},
	abstract = {Information and Communication Technologies have transformed the way people work and have a growing impact on long life learning. Organizational Learning is an increasingly important area of research that concerns the way organizations learn and thus augment their competitive advantage, innovativeness, and effectiveness. Within the project MEMORAe2.0, we are interested by the capitalization of knowledge in the context of an organization and by organizational learning. We developed the EMEMORAe2.0 environment which is based on the concept of learning organizational memory. In this paper, we present the organizational learning approach; we stress the role of an organizational memory in this approach; we define the concept of learning organizational memory; and we specify the use of a forum concept in such a context. Then we present the approach MEMORAe, the environment E-MEMORAe2.0 we developed and its evaluation.},
	keywords = {Community of practice, Forum, Learning organizational memory, Ontology, Organizational learning},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-70349980893\&partnerID=40\&md5=91b22b845ffabe4a466a7a6fb88cce89},
	author = {Leblanc, A. and Abel, M.-H.}
}
@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 {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 {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 {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 {61,
	title = {User interactions with multimedia repositories using natural language interfaces - OntoNL: An architectural framework and its implementation},
	journal = {Journal of Digital Information Management},
	volume = {4},
	year = {2006},
	note = {Cited By (since 1996):4Export Date: 10 July 2014},
	month = {2006},
	pages = {220 - 226},
	abstract = {We present a generalized architectural framework for constructing and using natural language interfaces for interactions with multimedia repositories. The system allows the users to specify natural language queries about the multimedia content with rich semantics. It uses an extensive set of methodologies and tools for linguistic processing, and utilizes the MPEG-7 and the domain ontologies to reduce the ambiguities in the natural language and to rank the results. We describe the implementation of this framework for supporting interactions with a multimedia repository, described with the MPEG-7 MDS (Multimedia Description Schemes) structures, that also uses User Profile information for better ranking of the result queries.},
	keywords = {MPEG 7, Natural language interface, Ontology, Semantics},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33845925229\&partnerID=40\&md5=78be53ce109a805416d2c49e78d10de5},
	author = {Karanastasi, A. and Zotos, A. and Christodoulakis, S.}
}
@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.}
}
