Martin Hepp

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Martin Hepp is an author.


Only those publications related to wikis are shown here.
Title Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Harvesting Wiki Consensus: Using Wikipedia Entries as Vocabulary for Knowledge Management Knowledge management
Semantic knowledge management
IEEE Internet Computing English 2007 Vocabularies that provide unique identifiers for conceptual elements of a domain can improve precision and recall in knowledge-management applications. Although creating and maintaining such vocabularies is generally hard, wiki users easily manage to develop comprehensive, informal definitions of terms, each one identified by a URI. Here, the authors show that the URIs of Wikipedia entries are reliable identifiers for conceptual entities. They also demonstrate how Wikipedia entries can be used for annotating Web resources and knowledge assets and give precise estimates of the amount of Wikipedia URIs in terms of the popular Proton ontology's top-level concepts. 0 0
Harvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements 2006 ezweb folksonomy ontology wikipedia CEUR Workshop Proceedings English 2006 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. 0 0
OntoWiki: Commuity-driven Ontology Engineering and Ontology Usage based on Wikis OWL
Community-driven ontology engineering
Semantic web
WikiSym English 2006 Ontologies are consensual representations of a domain of discourse and the backbone of the future Semantic Web. Currently, however, only a fraction of Web users can take part in the process of building ontologies. In this paper, we show that standard Wiki technology can be used as an ontology development platform, reducing entry barriers for the participation of users in the creation and maintenance of ontologies, and describe our first OntoWiki prototype. 0 1