BibSonomy publications for /user/pitman/ontologySun Aug 10 19:03:37 CEST 2008Ontologies: A Handbook of Principles, Concepts and Applications in Information Systems777--822Engineering a Development Platform for Ontology-Enhanced Knowledge Applications2007engineering knowledge management ontology platform Babylon Knowledge Explorer (BKE) is an integrated suite of tools and information sources being developed in GlaxoSmithKline’sFri Jan 18 06:35:00 CET 200821. AAAI / 18. IAAI 2006conf/aaai/2006julyWikiRelate! Computing Semantic Relatedness Using Wikipedia.2006Wikipedia ontology relatedness semantic_web Wikipedia provides a knowledge base for computing word relatedness in a more structured fashion than a search engine and with more coverage than WordNet. In this work we present experiments on using Wikipedia for computing semantic relatedness and compare it to WordNet on various benchmarking datasets. Existing relatedness measures perform better using Wikipedia than a baseline given by Google counts, and we show that Wikipedia outperforms WordNet when applied to the largest available dataset designed for that purpose. The best results on this dataset are obtained by integrating Google, WordNet and Wikipedia based measures. We also show that including Wikipedia improves the performance of an NLP application processing naturally occurring texts.Thu Jan 17 01:27:48 CET 2008Proceedings of the Workshop on Ontology Matching (OM2007) at ISWC/ASWC2007, Busan, South Koreahttp://data.semanticweb.org/workshop/om/2007/proceedingsNovemberOntology Mapping - A User Survey2007mapping ontology Ontology mapping is the key to data interoperability in the semantic web vision. Computing mappings is the first step to applications such as query rewriting, instance sharing, web-service integration, and ontology merging. This problem has received a lot of attention in recent years, but little is known about how users actually construct mappings. Several ontology-mapping tools have been developed, but which tools do users actually use? What processes are users following to discover, track, and compute mappings? How do teams coordinate when performing mappings? In this paper, we discuss the results from an online user survey where we gathered feedback from the community to help answer these important questions. We discuss the results from the survey and the implications they may have on the mapping research community.Sun Jan 13 18:01:38 CET 2008Bridging the Gep between Semantic Web and Web 2.0 (SemNet 2007)57-70FolksOntology: An Integrated Approach for Turning Folksonomies into Ontologies2007folksonomy ontology tagging_convergence tagging_problems We can observe that the amount of non-toy domain ontologies is still very limited for many areas of interest. In contrast, folksonomies are widely in use for (1) tagging Web pages (e.g. del.icio.us), (2) annotating pictures (e.g. flickr), or (3) classifying scholarly publications (e.g. bibsonomy). However, such folksonomies cannot offer the expressivity of ontologies, and the respective tags often lack a context-independent and intersubjective definition of meaning. Also, folksonomies and other unsupervised vocabularies frequently suffer from inconsistencies and redundancies. In this paper, we argue that the social interaction manifested in folksonomies and in their usage should be exploited for building and maintaining ontologies. Then, we sketch a comprehensive approach for deriving ontologies from folksonomies by integrating multiple resources and techniques. In detail, we suggest combining (1) the statistical analysis of folksonomies, associated usage data, and their implicit social networks, (2) online lexical resources like dictionaries, Wordnet, Google and Wikipedia, (3) ontologies and Semantic Web resources, (4) ontology mapping and matching approaches, and (5) functionality that helps human actors in achieving and maintaining consensus over ontology element suggestions resulting from the preceding steps.Sun Jan 13 17:59:26 CET 2008Semantic Web Application and Perspectives - Fourth Italian Semantic Web WorkshopDec192--201Using WordNet to turn a folksonomy into a hierarchy of concepts2007folksonomy hierarchy ontology semantic_web wordnet Thu Jan 10 01:24:36 CET 2008Sheffield, UKConceptual Structures: Knowledge Architectures for Smart Applications, Proc. ICCS 2007July 2007ISBN: 978-3-540-73680-6 ISSN: 0302-9743488-491LNAISupporting Lexical Ontology Learning by Relational Exploration 46042008exploration learning ontology relational Designing and refining ontologies becomes a tedious task, once the boundary to real-world-size knowledge bases has been crossed. Hence semi-automatic methods supporting those tasks will determine the future success of ontologies in practice. In this paper we describe a way for ontology creation and refinement by combining techniques from natural language processing (NLP) and formal concept analysis (FCA). We point out how synergy between those two fields can be established thereby overcoming each other’s shortcomings.Wed Jan 09 02:19:43 CET 2008New York, NY, USAJCDL '07: Proceedings of the 2007 conference on Digital libraries278--287A practical ontology for the large-scale modeling of scholarly artifacts and their usage2007artifacts large_scale modeling ontology practical scholarly usage Thu Dec 27 22:18:56 CET 2007Proc. IT\&KNOWS Conference of the 15th IFIP World Computer CongressMethodologies for Ontology Development1998development methodologies ontology Thu Dec 27 22:11:47 CET 2007Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web : 13th International Conference, EKAW 2002, Siguenza, Spain, October 1-4, 2002. Proceedings133--140User-Driven Ontology Evolution Management2002evolution management ontology user With rising importance of knowledge interchange, many industrial and academic applications have adopted ontologies as their conceptual backbone. However, industrial and academic environments are very dynamic, thus inducing changes to application requirements. To fulfill these changes, often the underlying ontology must be evolved as well. As ontologies grow in size, the complexity of change management increases, thus requiring a well-structured ontology evolution process. In this paper we identify a possible six-phase evolution process and focus on providing the user with capabilities to control and customize it. We introduce the concept of an evolution strategy encapsulating policy for evolution with respect to user's requirements. ER -Thu Dec 27 18:23:39 CET 2007Proceedings of the 2004 Knowledge Discovery and Ontologies Workshop (KDO'04), Pisa, Italy{FOGA: A Fuzzy Ontology Generation Framework for Scholarly Semantic Web}242004fuzzy ontology scholar semantic_web Wed Dec 26 18:16:03 CET 2007Scientific AmericanMayThe Semantic Web2001folksonomy ontology semantic A new form of Web content that is meaningful to computers will unleash a revolution of new possibilities