BibSonomyburst/bibtex/0d506074ecdedbb3a8b72d96aee82ba36BibSonomy RSS feed for /bibtex/0d506074ecdedbb3a8b72d96aee82ba362012-02-17T15:49:57+01:00http://www.bibsonomy.org/bibtex/2d120c5c498e9cec5ce2934537c58978f/jaeschkejaeschke2007-02-01T14:04:37+01:00iccs_example ontology semantic trias_example web wiki wikipedia <span class="authorEditorList"><a href="/author/Hepp">Martin Hepp</a>, <a href="/author/Bachlechner">Daniel Bachlechner</a>, and <a href="/author/Siorpaes">Katharina Siorpaes</a> </span><em>Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics, </em><em>ESWC2006, </em>(<em>June 2006</em>)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 Elements2006iccs_example ontology semantic trias_example web wiki wikipedia 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.All references containing the term "wiki" from the bibtex files of papers on the SemWiki2006 WShttp://www.bibsonomy.org/bibtex/2d120c5c498e9cec5ce2934537c58978f/lysander07lysander072006-07-20T19:56:52+02:00semwiki2006 swikig eswc2006 wiki semantic <span class="authorEditorList"><a href="/author/Hepp">Martin Hepp</a>, <a href="/author/Bachlechner">Daniel Bachlechner</a>, and <a href="/author/Siorpaes">Katharina Siorpaes</a> </span><em>Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics, </em><em>ESWC2006, </em>(<em>June 2006</em>)Thu Jul 20 19:56:52 CEST 2006Proceedings of the First Workshop on Semantic Wikis -- From Wiki To SemanticsSemWiki2006-proceedingsJuneWorkshop on Semantic WikisHarvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements2006semwiki2006 swikig eswc2006 wiki semantic 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.All references containing the term "wiki" from the bibtex files of papers on the SemWiki2006 WShttp://www.bibsonomy.org/bibtex/2d120c5c498e9cec5ce2934537c58978f/langeclangec2006-06-26T18:42:56+02:00semwiki2006 swikig eswc2006 wiki semantic <span class="authorEditorList"><a href="/author/Hepp">Martin Hepp</a>, <a href="/author/Bachlechner">Daniel Bachlechner</a>, and <a href="/author/Siorpaes">Katharina Siorpaes</a> </span><em>Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics, </em><em>ESWC2006, </em>(<em>June 2006</em>)Mon Jun 26 18:42:56 CEST 2006Proceedings of the First Workshop on Semantic Wikis -- From Wiki To SemanticsSemWiki2006-proceedingsJuneWorkshop on Semantic WikisHarvesting Wiki Consensus -- Using Wikipedia Entries as Ontology Elements2006semwiki2006 swikig eswc2006 wiki semantic 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.All references containing the term "wiki" from the bibtex files of papers on the SemWiki2006 WShttp://www.bibsonomy.org/bibtex/2d120c5c498e9cec5ce2934537c58978f/xamdexamde2006-06-14T13:18:56+02:00semwiki2006 eswc2006 swikig wiki semantic <span class="authorEditorList"><a href="/author/Hepp">Martin Hepp</a>, <a href="/author/Bachlechner">Daniel Bachlechner</a>, and <a href="/author/Siorpaes">Katharina Siorpaes</a> </span><em>Proceedings of the First Workshop on Semantic Wikis -- From Wiki To Semantics, </em><em>ESWC2006, </em>(<em>June 2006</em>)Wed Jun 14 13:18:56 CEST 2006Proceedings of the First Workshop on Semantic Wikis -- From Wiki To SemanticsSemWiki2006-proceedingsJuneWorkshop on Semantic WikisHarvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements2006semwiki2006 eswc2006 swikig wiki semantic 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.All references containing the term "wiki" from the bibtex files of papers on the SemWiki2006 WS