Semantic network analysis of ontologies

dc.date.accessioned2009-04-20T09:47:27Z
dc.date.available2009-04-20T09:47:27Z
dc.date.issued2006
dc.description.everythingAuch erschienen in: Sure, York u.a. (Hrsg.): The semantic web. (Lecture notes in computer science ; 4011). Berlin u.a. : Springer, 2006. S. 530-544. ISBN 3-540-34544-2 - 978-3-540-34544-2 (The original publication is available at www.springerlink.com)ger
dc.format.extent173087 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.uriurn:nbn:de:hebis:34-2009042027026
dc.identifier.urihttp://hdl.handle.net/123456789/2009042027026
dc.language.isoeng
dc.rightsUrheberrechtlich geschützt
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subject.ddc004
dc.subject.swdOntologie <Wissensverarbeitung>ger
dc.subject.swdWissensmanagementger
dc.titleSemantic network analysis of ontologieseng
dc.typePreprint
dcterms.abstractA key argument for modeling knowledge in ontologies is the easy re-use and re-engineering of the knowledge. However, beside consistency checking, current ontology engineering tools provide only basic functionalities for analyzing ontologies. Since ontologies can be considered as (labeled, directed) graphs, graph analysis techniques are a suitable answer for this need. Graph analysis has been performed by sociologists for over 60 years, and resulted in the vivid research area of Social Network Analysis (SNA). While social network structures in general currently receive high attention in the Semantic Web community, there are only very few SNA applications up to now, and virtually none for analyzing the structure of ontologies. We illustrate in this paper the benefits of applying SNA to ontologies and the Semantic Web, and discuss which research topics arise on the edge between the two areas. In particular, we discuss how different notions of centrality describe the core content and structure of an ontology. From the rather simple notion of degree centrality over betweenness centrality to the more complex eigenvector centrality based on Hermitian matrices, we illustrate the insights these measures provide on two ontologies, which are different in purpose, scope, and size.eng
dcterms.accessRightsopen access
dcterms.creatorHoser, Bettina
dcterms.creatorHotho, Andreas
dcterms.creatorJäschke, Robert
dcterms.creatorSchmitz, Christoph
dcterms.creatorStumme, Gerd

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