BibSonomy publications for /user/hotho/ontologyMon Aug 25 15:40:01 CEST 2008Data Mining, 2007. ICDM 2007. Seventh IEEE International Conference on332-341Improving Text Classification by Using Encyclopedia Knowledge2007text **** classification wikipedia ol learning ontology evaluation The exponential growth of text documents available on the Internet has created an urgent need for accurate, fast, and general purpose text classification algorithms. However, the "bag of words" representation used for these classification methods is often unsatisfactory as it ignores relationships between important terms that do not co-occur literally. In order to deal with this problem, we integrate background knowledge - in our application: Wikipedia - into the process of classifying text documents. The experimental evaluation on Reuters newsfeeds and several other corpus shows that our classification results with encyclopedia knowledge are much better than the baseline "bag of words " methods.Tue Jun 17 22:30:50 CEST 2008Journal of Applied Ontologyto appearAEON - An Approach to the Automatic Evaluation of Ontologies20082008 automatic myown ontology ml sw evaluation Tue Jun 17 21:04:00 CEST 2008ESOECEUR Workshop ProceedingsProceedings of the First International Workshop on Emergent Semantics and Ontology Evolution, ESOE 2007, co-located with ISWC 2007 + ASWC 2007, Busan, Korea, November 12th, 20072922007workshop 2007 semantics myown ontology Thu Jun 12 16:55:39 CEST 2008Berlin; New YorkInternational handbooks on information systems--Handbook on ontologies2004survey semantic handbook web ontology Tue May 20 21:48:14 CEST 2008Alicante, SpainProceedings of the 10th International Conference on Applications of Natural Language to Information Systems (NLDB)JUN227-238Lecture Notes in Computer ScienceText2Onto - A Framework for Ontology Learning and Data-driven Change Discovery35132005kaon nlp ol learning ontology text2onto Tue May 20 17:43:51 CEST 2008Information, Wissenschaft und PraxisOCTsee the special issue for more contributions related to the Semantic Web6-7315-320Ontologies on Demand? - A Description of the State-of-the-Art, Applications, Challenges and Trends for Ontology Learning from Text572006survey learning toread ontology Mon May 19 08:38:59 CEST 2008Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems20082008 tag similarity semantic myown ol learning ontology analysis Social bookmarking systems allow users to organise collections of resources on the Web in a collaborative fashion. The increasing popularity of these systems as well as first insights into their emergent semantics have made them relevant to disciplines like knowledge extraction and ontology learning. The problem of devising methods to measure the semantic relatedness between tags and characterizing it semantically is still largely open. Here we analyze three measures of tag relatedness: tag co-occurrence, cosine similarity of co-occurrence distributions, and FolkRank, an adaptation of the PageRank algorithm to folksonomies. Each measure is computed on tags from a large-scale dataset crawled from the social bookmarking system del.icio.us. To provide a semantic grounding of our findings, a connection to WordNet (a semantic lexicon for the English language) is established by mapping tags into synonym sets of WordNet, and applying there well-known metrics of semantic similarity. Our results clearly expose different characteristics of the selected measures of relatedness, making them applicable to different subtasks of knowledge extraction such as synonym detection or discovery of concept hierarchies.Thu May 08 12:17:01 CEST 2008Behav Res MethodsNov4547-559Semantic feature production norms for a large set of living and nonliving things372005dataset grounding relation semantic ol toread ontology Semantic features have provided insight into numerous behavioral phenomena concerning concepts, categorization, and semantic memory in adults, children, and neuropsychological populations. Numerous theories and models in these areas are based on representations and computations involving semantic features. Consequently, empirically derived semantic feature production norms have played, and continue to play, a highly useful role in these domains. This article describes a set of feature norms collected from approximately 725 participants for 541 living (dog) and nonliving (chair) basic-level concepts, the largest such set of norms developed to date. This article describes the norms and numerous statistics associated with them. Our aim is to make these norms available to facilitate other research, while obviating the need to repeat the labor-intensive methods involved in collecting and analyzing such norms. The full set of norms may be downloaded from www.psychonomic.org/archive.Mon Mar 24 11:55:48 CET 2008New York, NY, USASAC '03: Proceedings of the 2003 ACM symposium on Applied computing1174--1178Ontology-focused crawling of Web documents2003focused ontology crawling sw crawler The Web, the largest unstructured database of the world, has greatly improved access to documents. However, documents on the Web are largely disorganized. Due to the distributed nature of the World Wide Web it is difficult to use it as a tool for information and knowledge management. Therefore, users doing the difficult task of exploring the Web have to be supported by intelligent means.This paper proposes an approach for document discovery building on a comprehensive framework for ontology-focused crawling of Web documents. Our framework includes means for using a complex ontology and associated instance elements. It defines several relevance computation strategies and provides an empirical evaluation which has shown promising results.Fri Feb 01 09:19:11 CET 2008LWA 2007: Lernen - Wissen - Adaption, Halle, September 2007, Workshop Proceedings (LWA)conf/lwa/2007109-112Position Paper: Ontology Learning from Folksonomies.20072007 summerschool myown folksonomy learning ontology kdubiq Thu Jan 31 12:15:29 CET 2008Proceedings of the European Semantic Web Conference, ESWC2007JulyLecture Notes in Computer Science{Learning Disjointness}451920072007 eswc myown ol learning ontology Mon Jan 28 15:00:01 CET 2008Washington, DC, USAICDM '01: Proceedings of the 2001 IEEE International Conference on Data Mining607--608Text Clustering Based on Good Aggregations2001tm text kmeans myown ontology gruppenbildung 2001 clustering Fri Jan 25 19:51:15 CET 2008Kybernetes5/6691--722Bootstrapping knowledge representations: from entailment meshes via semantic nets to learning webs302001summerschool semantic folksonomy learning ontology kdubiq Tue Jan 15 11:04:28 CET 2008Proceedings of FGML Workshop37-45Conceptual Clustering of Text Clusters2002text 2002 myown ontology clustering Tue Jan 15 10:33:14 CET 2008Budva, MontenegroProceedings of the 3rd European Semantic Web ConferenceJune530-544LNCSContent Aggregation on Knowledge Bases using Graph Clustering40112006content aggregation 2006 graph theory myown ontology clustering Tue Jan 15 10:29:05 CET 2008Budva, MontenegroProceedings of the 3rd European Semantic Web ConferenceJune514-529LNCSSemantic Network Analysis of Ontologies40112006sna 2006 social semantic web myown ontology analysis network Tue Jan 15 10:22:47 CET 2008Proceedings of the The Second International Conference on Formal Concept Analysis (ICFCA 04)LNCSConceptual Knowledge Processing with Formal Concept Analysis and Ontologies296120042004 myown ol ontology fca Tue Jan 15 10:15:04 CET 2008Lisbon, PortugalProceedings of the Conference on Languages Resources and Evaluation (LREC)MAYClustering Ontologies from Text2004text 2004 myown ol ontology clustering Tue Jan 15 10:00:15 CET 2008Proc. of the 7th European Conference in Research and Advanced Technology for Digital Libraries, ECDL 2003140-151LNCSAutomatic multi-label subject indexing in a multilingual environment27692003text classification 2003 myown agrovoc ontology SumSchool06 Sun Jan 13 12:15:27 CET 2008Intelligent Information Processing and Web Mining, Proceedings of the International IIS: IIPWM'03 Conference held in Zakopane451-452Ontology-based Text Document Clustering.2003text 2003 myown ontology clustering