BibSonomy publications for /user/diego_ma/ontologyWed Jan 09 06:55:27 CET 2008Int’l Journal on Semantic Web & Information Systems2Ontology of Folksonomy: A Mash-up of Apples and Oranges32007ontology folksonomy Ontologies are enabling technology for the Semantic Web. They are a means for people to state what they mean by the terms used in data that they might generate, share, or consume. Folksonomies are an emergent phenomenon of the Social Web. They arise from data about how people associate terms with content that they generate, share, or consume. Recently the two ideas have been put into opposition, as if they were right and left poles of a political spectrum. This is a false dichotomy; they are more like apples and oranges. In fact, as the Semantic Web matures and the Social Web grows, there is increasing value in applying Semantic Web technologies to the data of the Social Web. This article is an attempt to clarify the distinct roles for ontologies and folksonomies, and previews some new work that applies the two ideas together - an ontology of folksonomy.Fri Dec 14 02:48:38 CET 2007ToulouseProc. ACL2001, Workshop on Open Domanin QATowards Ontological Question Answering2001ontology answer_extraction This paper presents and ontology-based semantic framework to question answering. Both questions and source text are parsed into underspecified semantic expressions where names of semantic atoms and predicates are defined in an interlingual ontology. Answer retrieval is done using subsumption and unification, and queries are expanded incrementally using ontological rules. Ranking of answers is achieved by using graded unification.Fri Dec 14 02:46:56 CET 2007Automated Interpretation of Nominal Compounds in a Technical Domain1996nom_compounds ontology NLP Fri Dec 14 02:46:55 CET 2007Lisbon, PortugalProc. ECDL 2000 Workshop on the Semantic WebAn Extensible Approach for Modelling Ontologies in {RDF(S)}2000ontology semantic_web RDF(S) 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 object-model 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.Fri Dec 14 02:44:34 CET 2007Ontology Development 101: A Guide to Creating Your First Ontology2001ontology Fri Dec 14 02:43:00 CET 2007New York, NY, USAHYPERTEXT '06: Proceedings of the seventeenth conference on Hypertext and hypermedia31--40HT06, tagging paper, taxonomy, Flickr, academic article, to read2006ontology folksonomy web In recent years, tagging systems have become increasingly popular. These systems enable users to add keywords (i.e., "tags") to Internet resources (e.g., web pages, images, videos) without relying on a controlled vocabulary. Tagging systems have the potential to improve search, spam detection, reputation systems, and personal organization while introducing new modalities of social communication and opportunities for data mining. This potential is largely due to the social structure that underlies many of the current systems.Despite the rapid expansion of applications that support tagging of resources, tagging systems are still not well studied or understood. In this paper, we provide a short description of the academic related work to date. We offer a model of tagging systems, specifically in the context of web-based systems, to help us illustrate the possible benefits of these tools. Since many such systems already exist, we provide a taxonomy of tagging systems to help inform their analysis and design, and thus enable researchers to frame and compare evidence for the sustainability of such systems. We also provide a simple taxonomy of incentives and contribution models to inform potential evaluative frameworks. While this work does not present comprehensive empirical results, we present a preliminary study of the photo-sharing and tagging system Flickr to demonstrate our model and explore some of the issues in one sample system. This analysis helps us outline and motivate possible future directions of research in tagging systems.Fri Dec 14 02:41:37 CET 2007OntoMap.ORG2001ontology The goal of the project is to facilitate an easy access, understanding, and reuse of upper-level and general purpose ontologies as well as lexical knowledge bases...