http://www.bibsonomy.org/burst/user/brightbyte/thesaurusBibSonomy BuRST Feed for /user/brightbyte/thesaurus2008-08-21T13:08:40+02:00http://www.bibsonomy.org/bibtex/2e945505ed598b97b38ef8efe4da04994/brightbytebrightbyte2008-05-30T11:59:35+02:00named-entities relatedness thesis wikipedia translation thesaurus <span style="color:#555555;">Daniel <a href="http://www.bibsonomy.org/author/Kinzler">Kinzler</a> </span>(<em>2008</em>) <em>also avialable at http://lips.informatik.uni-leipzig.de/pub/2008-4 . </em>Fri May 30 11:59:35 CEST 2008also avialable at http://lips.informatik.uni-leipzig.de/pub/2008-4Automatischer Aufbau eines multilingualen Thesaurus durch Extraktion semantischer und lexikalischer Relationen aus der Wikipedia2008named-entities relatedness thesis wikipedia translation thesaurus http://www.bibsonomy.org/bibtex/2acde39a427ef0e7501f07e8b067a88f0/brightbytebrightbyte2008-05-20T11:16:21+02:00thesaurus knowledge nlp ontology <span style="color:#555555;">Mario <a href="http://www.bibsonomy.org/author/Jarmasz">Jarmasz</a> and Stan <a href="http://www.bibsonomy.org/author/Szpakowicz">Szpakowicz</a> </span><em>Conference on Recent Advances in Natural Language Processing, </em><em>page212--219. </em>(<em>2003</em>)Tue May 20 11:16:21 CEST 2008Conference on Recent Advances in Natural Language Processing212--219Roget's thesaurus and semantic similarity2003thesaurus knowledge nlp ontology We have implemented a system that measures semantic similarity using a computerized 1987 Roget's Thesaurus, and evaluated it by performing a few typical tests. We compare the results of these tests with those produced by WordNet-based similarity measures. One of the benchmarks is Miller and Charles� list of 30 noun pairs to which human judges had assigned similarity measures. We correlate these measures with those computed by several NLP systems. The 30 pairs can be traced back to Rubenstein and Goodenough�s 65 pairs, which we have also studied. Our Roget�s-based system gets correlations of .878 for the smaller and .818 for the larger list of noun pairs; this is quite close to the .885 that Resnik obtained when he employed humans to replicate the Miller and Charles experiment. We further evaluate our measure by using Roget�s and WordNet to answer 80 TOEFL, 50 ESL and 300 Reader�s Digest questions: the correct synonym must be selected amongst a group of four words. Our system gets 78.75\%, 82.00\% and 74.33\% of the questions respectively.http://www.bibsonomy.org/bibtex/205c46f0c52ab405ffdd48a2d7ec7a734/brightbytebrightbyte2008-05-20T11:12:50+02:00knowledge thesaurus nlp <span style="color:#555555;">M. <a href="http://www.bibsonomy.org/author/Jarmasz">Jarmasz</a> and S. <a href="http://www.bibsonomy.org/author/Szpakowicz">Szpakowicz</a> </span>(<em>2001</em>)Tue May 20 11:12:50 CEST 2008NIE BEZ ZNACZENIA. Prace ofiarowane Profesorowi Zygmuntowi Saloniemu z okazji{Roget’s Thesaurus as an Electronic Lexical Knowledge Base}2001knowledge thesaurus nlp http://www.bibsonomy.org/bibtex/2f36a2d208aa4bf661ac0a826f271762f/brightbytebrightbyte2008-05-17T00:02:56+02:00thesaurus search information-retrieval <span style="color:#555555;">Wolfgang G. <a href="http://www.bibsonomy.org/author/Stock">Stock</a> </span><em>Oldenbourg, </em>(<em>2007</em>)Sat May 17 00:02:56 CEST 2008Information Retrieval2007thesaurus search information-retrieval http://www.bibsonomy.org/bibtex/2db05fdb0c2a2a44cb0490898ea7c9f4b/brightbytebrightbyte2008-05-14T18:07:06+02:00thesaurus wikipedia <span style="color:#555555;">David <a href="http://www.bibsonomy.org/author/Milne">Milne</a> and Ian H. <a href="http://www.bibsonomy.org/author/Witten">Witten</a> and David M. <a href="http://www.bibsonomy.org/author/Nichols">Nichols</a> </span>(<em>2007</em>)Wed May 14 18:07:06 CEST 2008Extracting corpus specific knowledge bases from Wikipedia2007thesaurus wikipedia Thesauri are useful knowledge structures for assisting information retrieval. Yet their production is labor-intensive, and few domains have comprehensive thesauri that cover domain-specific concepts and contemporary usage. One approach, which has been attempted without much success for decades, is to seek statistical natural language processing algorithms that work on free text. Instead, we propose to replace costly professional indexers with thousands of dedicated amateur volunteers—namely, those that are producing Wikipedia. This vast, open encyclopedia represents a rich tapestry of topics and semantics and a huge investment of human effort and judgment. We show how this can be directly exploited to provide WikiSauri: manually-defined yet inexpensive thesaurus structures that are specifically tailored to expose the topics, terminology and semantics of individual document collections. We also offer concrete evidence of the effectiveness of WikiSauri for assisting information retrieval.dblphttp://www.bibsonomy.org/bibtex/2310e4aa1d5efb90892facc962f769fb1/brightbytebrightbyte2008-05-14T13:30:38+02:00WW-MUST thesaurus wikipedia dictionary <span style="color:#555555;">Kotaro <a href="http://www.bibsonomy.org/author/Nakayama">Nakayama</a> and Takahiro <a href="http://www.bibsonomy.org/author/Hara">Hara</a> and Shojiro <a href="http://www.bibsonomy.org/author/Nishio">Nishio</a> </span><em>AINA, </em><em>page932-939. </em><em>IEEE Computer Society, </em>(<em>2007</em>)Wed May 14 13:30:38 CEST 2008AINAconf/aina/2007932-939A Thesaurus Construction Method from Large Scale Web Dictionaries.2007WW-MUST thesaurus wikipedia dictionary http://www.bibsonomy.org/bibtex/26eb91f70a2d8219b7016a7cc942c9400/brightbytebrightbyte2008-05-14T11:06:13+02:00thesaurus SKOS <span style="color:#555555;">Mark van <a href="http://www.bibsonomy.org/author/Assem">Assem</a> and V'eronique <a href="http://www.bibsonomy.org/author/Malais\&#039;{e}">Malais'e</a> and Alistair <a href="http://www.bibsonomy.org/author/Miles">Miles</a> and Guus <a href="http://www.bibsonomy.org/author/Schreiber">Schreiber</a> </span><em>The Semantic Web: Research and Applications</em>(<em>2006</em>)Wed May 14 11:06:13 CEST 2008The Semantic Web: Research and Applications95--109A Method to Convert Thesauri to SKOS2006thesaurus SKOS Thesauri can be useful resources for indexing and retrieval on the Semantic Web, but often they are not published in RDF/OWL. To convert thesauri to RDF for use in Semantic Web applications and to ensure the quality and utility of the conversion a structured method is required. Moreover, if different thesauri are to be interoperable without complicated mappings, a standard schema for thesauri is required. This paper presents a method for conversion of thesauri to the SKOS RDF/OWL schema, which is a proposal for such a standard under development by W3C’s Semantic Web Best Practices Working Group. We apply the method to three thesauri: IPSV, GTAA and MeSH. With these case studies we evaluate our method and the applicability of SKOS for representing thesauri.http://www.bibsonomy.org/bibtex/2f07d7287d2583d960fe848ad686a1d8a/brightbytebrightbyte2008-05-14T00:22:55+02:00wordnet CITED thesaurus classic <span style="color:#555555;">C. <a href="http://www.bibsonomy.org/author/Fellbaum">Fellbaum</a> </span><em>MIT Press, </em><em>Cambridge, MA, </em>(<em>1998</em>)Wed May 14 00:22:55 CEST 2008Cambridge, MA{WordNet: an electronic lexical database}1998wordnet CITED thesaurus classic http://www.bibsonomy.org/bibtex/2e5b68c178b2b2d4157e029bbfc649ea6/brightbytebrightbyte2008-05-04T11:19:37+02:00CITED wordnet classic thesaurus <span style="color:#555555;">G.A. <a href="http://www.bibsonomy.org/author/Miller">Miller</a> </span><em>Communications of the ACM</em><em>38(11):39</em>(<em>1995</em>)Sun May 04 11:19:37 CEST 2008Communications of the ACM1139{WordNet: A Lexical Database for English}381995CITED wordnet classic thesaurus http://www.bibsonomy.org/bibtex/2cfca907355062b1ff4ea4e743958f8a4/brightbytebrightbyte2008-04-15T17:28:48+02:00thesaurus topic-maps taxonomy WW-SHOULD <span style="color:#555555;">Lars Marius <a href="http://www.bibsonomy.org/author/Garshol">Garshol</a> </span><em>Journal of Information Science</em><em>30(4):378-391</em>(<em>2004</em>)Tue Apr 15 17:28:48 CEST 2008Journal of Information Science4378-391Metadata? Thesauri? Taxonomies? Topic Maps!: Making sense of it all302004thesaurus topic-maps taxonomy WW-SHOULD To be faced with a document collection and not to be able to find the information you know exists somewhere within it is a problem as old as the existence of document collections. Information architecture is the discipline dealing with the modern version of this problem: how to organize web sites so that users can actually find what they are looking for. Information architects have so far applied known and well-tried tools from library science to solve this problem, and now topic maps are sailing up as another potential tool for information architects. This raises the question of how topic maps compare with the traditional solutions, and that is the question this paper attempts to address. The paper argues that topic maps go beyond the traditional solutions in the sense that they provide a framework within which they can be represented as they are, but also extended in ways which significantly improve information retrieval.http://www.bibsonomy.org/bibtex/2cf87bf891c2608d7d8209d24ad3f376c/brightbytebrightbyte2008-03-26T13:58:58+01:00dictionary WW-SHOULD taxonomie WW-CITED thesaurus nlp knowledge <span style="color:#555555;">Y. <a href="http://www.bibsonomy.org/author/Wilks">Wilks</a> and B.M. <a href="http://www.bibsonomy.org/author/Slator">Slator</a> and L.M. <a href="http://www.bibsonomy.org/author/Guthrie">Guthrie</a> </span><em>MIT Press, </em>(<em>1996</em>)Wed Mar 26 13:58:58 CET 2008{Electric Words: Dictionaries, Computers, and Meanings}1996dictionary WW-SHOULD taxonomie WW-CITED thesaurus nlp knowledge http://www.bibsonomy.org/bibtex/2e4b17bd309356b186c1b08359c4f9640/brightbytebrightbyte2008-03-22T13:36:18+01:00thesaurus rdf semantic-web WW-MUST <span style="color:#555555;">B. <a href="http://www.bibsonomy.org/author/Matthews">Matthews</a> and A. <a href="http://www.bibsonomy.org/author/Miles">Miles</a> and M. <a href="http://www.bibsonomy.org/author/Wilson">Wilson</a> </span>(<em>2003</em>) <em>CCLRC, Rutherford Appleton Laboratory, Didcot, OXON OX11 0QX, UK . </em>Sat Mar 22 13:36:18 CET 2008CCLRC, Rutherford Appleton Laboratory, Didcot, OXON OX11 0QX, UK Modelling Thesauri for the Semantic Web2003thesaurus rdf semantic-web WW-MUST For the Semantic Web to be effective the notion of controlled vocabulary shared by a community is central. Structuring of controlled vocabularies, including taxonomies, thesauri and ontologies has been studied for many years. In this paper we shall investigate the use of one such method of defining controlled vocabularies; thesauri. We compare approaches which have been proposed for expressing such controlled vocabularies in the Semantic Web, and propose a common forms to allow a migration path from existing thesauri to the Semantic Web. We then discuss how such a common thesuarus format might be used in the Semantic Web.http://www.bibsonomy.org/bibtex/261cd89d3453c7d1a3ac42bf6c870f075/brightbytebrightbyte2008-03-22T13:12:40+01:00WW-SHOULD information-retrival thesaurus WW-LIB classic <span style="color:#555555;">HP <a href="http://www.bibsonomy.org/author/Luhn">Luhn</a> </span><em>International Business Machines Corporation, </em>(<em>1957</em>)Sat Mar 22 13:12:40 CET 2008{A Statistical Approach to Mechanized Literature Searching}1957WW-SHOULD information-retrival thesaurus WW-LIB classic http://www.bibsonomy.org/bibtex/29add0eb8e86982482c2156454dd294dc/brightbytebrightbyte2008-03-22T13:02:26+01:00thesaurus WW-LIB information-retrieval WW-SHOULD <span style="color:#555555;">H.P. <a href="http://www.bibsonomy.org/author/Luhn">Luhn</a> </span><em>Spartan Books, </em>(<em>1968</em>)Sat Mar 22 13:02:26 CET 2008{HP Luhn: Pioneer of Information Science: Selected Works}1968thesaurus WW-LIB information-retrieval WW-SHOULD http://www.bibsonomy.org/bibtex/2f3f4b19887397019da2e20a12acff3e3/brightbytebrightbyte2008-03-21T12:01:02+01:00WW-SHOULD thesaurus WW-LIB <span style="color:#555555;">J. <a href="http://www.bibsonomy.org/author/Aitchison">Aitchison</a> and A. <a href="http://www.bibsonomy.org/author/Gilchrist">Gilchrist</a> and D. <a href="http://www.bibsonomy.org/author/Bawden">Bawden</a> </span><em>Europa Publications Ltd, </em>(<em>1997</em>) <em>ISBN: 978-0851424460 . </em>Fri Mar 21 12:01:02 CET 2008ISBN: 978-0851424460Thesaurus construction and use: a practical manual1997WW-SHOULD thesaurus WW-LIB http://www.bibsonomy.org/bibtex/29f48fc82298bcd7685da863ce2674505/brightbytebrightbyte2008-03-20T00:05:20+01:00w3c rdf semanticweb thesaurus <span style="color:#555555;"> </span>(<em>2004</em>)Thu Mar 20 00:05:20 CET 2008W3C:SKOSSimple Knowledge Organization System (SKOS) - Specifications \& Documentation2004w3c rdf semanticweb thesaurus http://www.bibsonomy.org/bibtex/2322a782754ec2b38773dcc5e3e2f6852/brightbytebrightbyte2008-03-07T13:06:58+01:00thesaurus WW-MUST <span style="color:#555555;">D. <a href="http://www.bibsonomy.org/author/Johnston">Johnston</a> and S.J. <a href="http://www.bibsonomy.org/author/Nelson">Nelson</a> and J.L.A. <a href="http://www.bibsonomy.org/author/Schulman">Schulman</a> and A.G. <a href="http://www.bibsonomy.org/author/Savage">Savage</a> and T.P. <a href="http://www.bibsonomy.org/author/Powell">Powell</a> </span><em>Proceedings of the 1998 AMIA Annual Symposium, </em>(<em>1998</em>)Fri Mar 07 13:06:58 CET 2008Proceedings of the 1998 AMIA Annual SymposiumRedefining a Thesaurus: Term-Centric No More1998thesaurus WW-MUST http://www.bibsonomy.org/bibtex/235abab5dd1526bf6bf8542262679b087/brightbytebrightbyte2008-03-03T00:41:34+01:00WW-MUST skos thesaurus w3c <span style="color:#555555;">Alistair <a href="http://www.bibsonomy.org/author/Miles">Miles</a> (eds.). </span><em>Working Draft, </em><em>http://www.w3.org/TR/2005/WD-swbp-thesaurus-p. </em><em>W3C, </em><em>May2005. </em>Mon Mar 03 00:41:34 CET 2008MayW3C Working Draft 17 May 2005http://www.w3.org/TR/2005/WD-swbp-thesaurus-pQuick Guide to Publishing a Thesaurus on the Semantic WebWorking Draft2005WW-MUST skos thesaurus w3c This document describes in brief how to express the content and structure of a thesaurus, and metadata about a thesaurus, in RDF. Using RDF allows data to be linked to and/or merged with other RDF data by semantic web applications. The Semantic Web, which is based on the Resource Description Framework (RDF), provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries.dblphttp://www.bibsonomy.org/bibtex/25d171159a6434ab4ce9d609b3bf8a30e/brightbytebrightbyte2008-02-27T11:12:55+01:00lexicon thesaurus <span style="color:#555555;">Maurizio <a href="http://www.bibsonomy.org/author/Tesconi">Tesconi</a> and Andrea <a href="http://www.bibsonomy.org/author/Marchetti">Marchetti</a> and Francesca <a href="http://www.bibsonomy.org/author/Bertagna">Bertagna</a> and Monica <a href="http://www.bibsonomy.org/author/Monachini">Monachini</a> and Claudia <a href="http://www.bibsonomy.org/author/Soria">Soria</a> and Nicoletta <a href="http://www.bibsonomy.org/author/Calzolari">Calzolari</a> </span><em>ACL, </em><em>The Association for Computer Linguistics, </em>(<em>2006</em>)Wed Feb 27 11:12:55 CET 2008ACLconf/acl/2006LeXFlow: A System for Cross-Fertilization of Computational Lexicons.2006lexicon thesaurus http://www.bibsonomy.org/bibtex/222a8b70fb8c824c713836a20fbc8596e/brightbytebrightbyte2008-02-26T17:45:02+01:00thesaurus WW-MUST disambiguation wikipedia <span style="color:#555555;">Rada <a href="http://www.bibsonomy.org/author/Mihalcea">Mihalcea</a> </span>(<em>2007</em>)Tue Feb 26 17:45:02 CET 2008 Using Wikipedia for Automatic Word Sense Disambiguation 2007 thesaurus WW-MUST disambiguation wikipedia