BibSonomy publications for /user/jaeschke/ontologyWed May 16 09:38:12 CEST 2007Edinburgh, ScotlandCollaborative Web Tagging Workshop at WWW 2006MayInducing Ontology from Flickr Tags.2006ontology folksonomy flickr Thu Feb 01 14:04:37 CET 2007The Semantic Web: Research and ApplicationsJuneProceedings of the 3rd European Semantic Web Conference, Budva, MontenegroLecture Notes in Computer ScienceSemantic Network Analysis of Ontologies2006l3s 2006 ontology network analysis semantic myown trias_example iccs_example A key argument for modeling knowledge in ontologies is the easy re-use and re-engineering of the knowledge. However, current ontology engineering tools provide only basic functionalities for analyzing ontologies. Since ontologies can be considered as graphs, graph analysis techniques are a suitable answer for this need. Graph analysis has been performed by sociologists for over 60 years, and resulted in the vivid research area of Social Network Analysis (SNA). While social network structures currently receive high attention in the Semantic Web community, there are only very few SNA applications, and virtually none for analyzing the structure of ontologies. We illustrate the benefits of applying SNA to ontologies and the Semantic Web, and discuss which research topics arise on the edge between the two areas. In particular, we discuss how different notions of centrality describe the core content and structure of an ontology. From the rather simple notion of degree centrality over betweenness centrality to the more complex eigenvector centrality, we illustrate the insights these measures provide on two ontologies, which are different in purpose, scope, and size.Thu Feb 01 14:04:37 CET 2007Mobiles Lernen und Forschen - Beiträge der Fachtagung an der UniversitätNovember93-104The Courseware Watchdog: an Ontology-based tool for finding and organizing learning material2003ontology trias_example learning iccs_example tool Topics in education are changing with an ever faster pace. E-Learning resources tend to be more and more decentralised. Users need increasingly to be able to use the resources of the web. For this, they should have tools for finding and organizing information in a decentral way. In this, paper, we show how an ontology-based tool suite allows to make the most of the resources available on the web.Thu Feb 01 14:04:37 CET 2007Melbourne, FloridaProceedings of the 2003 IEEE International Conference on Data MiningNovember 19-22,541-544 (PosterOntologies improve text document clustering2003text clustering iccs_example trias_example ontology Thu Feb 01 14:04:37 CET 2007Proceedings of the First Workshop on Semantic Wikis -- From Wiki To SemanticsSemWiki2006-proceedingsJuneWorkshop on Semantic WikisHarvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements2006web semantic wikipedia wiki trias_example ontology iccs_example One major obstacle towards adding machine-readable annotation to existing Web content is the lack of domain ontologies. While FOAF and Dublin Core are popular means for expressing relationships between Web resources and between Web resources and literal values, we widely lack unique identifiers for common concepts and instances. Also, most available ontologies have a very weak community grounding in the sense that they are designed by single individuals or small groups of individuals, while the majority of potential users is not involved in the process of proposing new ontology elements or achieving consensus. This is in sharp contrast to natural language where the evolution of the vocabulary is under the control of the user community. At the same time, we can observe that, within Wiki communities, especially Wikipedia, a large number of users is able to create comprehensive domain representations in the sense of unique, machine-feasible, identifiers and concept definitions which are sufficient for humans to grasp the intension of the concepts. The English version of Wikipedia contains now more than one million entries and thus the same amount of URIs plus a human-readable description. While this collection is on the lower end of ontology expressiveness, it is likely the largest living ontology that is available today. In this paper, we (1) show that standard Wiki technology can be easily used as an ontology development environment for named classes, reducing entry barriers for the participation of users in the creation and maintenance of lightweight ontologies, (2) prove that the URIs of Wikipedia entries are surprisingly reliable identifiers for ontology concepts, and (3) demonstrate the applicability of our approach in a use case.Thu Feb 01 14:04:37 CET 2007HeidelbergKnowledge Discovery in Databases: PKDD 2003, 7th European Conference on Principles and Practice of Knowledge Discovery in Databases217-228LNAIExplaining Text Clustering Results using Semantic Structures28382003formal ontology fca trias_example text concept clustering iccs_example Common text clustering techniques offer rather poor capabilities for explaining to their users why a particular result has been achieved. They have the disadvantage that they do not relate semantically nearby terms and that they cannot explain how resulting clusters are related to each other. In this paper, we discuss a way of integrating a large thesaurus and the computation of lattices of resulting clusters into common text clustering in order to overcome these two problems. As its major result, our approach achieves an explanation using an appropriate level of granularity at the concept level as well as an appropriate size and complexity of the explaining lattice of resulting clusters.Thu Feb 01 14:04:37 CET 2007Osaka, JapanNew Trends in Knowledge Processing -- Data Mining, Semantic Web and ComputationalMarch 10-11,31-34Building and Using the Semantic Web2003web mining trias_example iccs_example semantic ontology Thu Apr 20 15:01:04 CEST 2006IEEE Intelligent SystemsMarch/April218-25{I}dentifying {C}ommunities of {P}ractice through {O}ntology {N}etwork {A}nalysis182003ranking analysis ontocopi network ontology pagerank Wed Apr 19 21:20:03 CEST 2006Proceedings of the 4th International Semantic Web Conference522-536Lecture Notes in Computer ScienceOntologies Are Us: A Unified Model of Social Networks and Semantics37292005tagging social ontology folksonomy seminar2006 Tue Apr 11 08:36:27 CEST 2006AprilRDF without Revolution An Analysis and Test of RDF and Ontology Bachelor Thesis2005dbus ontology rdf nepomuk This dissertation describes the design and development of the Frege shared information system. This system builds upon the work of semantic desktop systems such as Gnowsis and Haystack, exploring the ways that ontological information may be integrated into an existing desktop environment. The major contribution of this work is the introduction of the idea of ‘reflections’ between information models as a formal basis for integrating a shared information system with existing applications. The success of this work is intended to be judged by its ease of use for developers, the completeness of the model reflection and its efficiency. According to these criteria the design implemented may be judged a partial success, achieving an easy-to-use reflection which is practically too slow to use in general purpose systems. The work does, however, suggest means to improve this in future systems in order to bring about a fully-integrated, evolutionary semantic desktop system.Mon Apr 10 09:45:57 CEST 2006Autonomous Agents and Multi-Agent SystemsOctober2169-194The Origins of Ontologies and Communication Conventions in Multi-Agent Systems11998ontology convention communication Tue Apr 04 13:01:53 CEST 2006Proc. of First Workshop on the Semantic Web at the Fourth European Conference International Workshop on Research and Advanced Technology for Digital Libraries, Lisbon, Portugal 18-20 September 2000SEPAn extensible approach for Modeling Ontologies in RDF(S)2000model rdfs rdf ontology RDF(S)1 constitutes a newly emerging standard for metadata that is about to turn the World Wide Web into a machine-understandable knowledge base. It is an XML application that allows for the denotation of facts and schemata in a web-compatible format, building on an elaborate objectmodel for describing concepts and relations. Thus, it might turn up as a natural choice for a widely-useable ontology description language. However, its lack of capabilities for describing the semantics of concepts and relations beyond those provided by inheritance mechanisms makes it a rather weak language for even the most austere knowledge-based system. This paper presents an approach for modeling ontologies in RDF(S) that also considers axioms as objects that are describable in RDF(S). Thus, we provide flexible, extensible, and adequate means for accessing and exchanging axioms in RDF(S). Our approach follows the spirit of the World Wide Web, as we do not assume a global axiom specification language that is too intractable for one purpose and too weak for the next, but rather a methodology that allows (communities of) users to specify what axioms are interesting in their domain.