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Abstract
In our work we extend the traditional bipartite model of ontologies with the social dimension, leading to a tripartite model of actors, concepts and instances. We demonstrate the application of this representation by showing how community-based semantics emerges from this model through a process of graph transformation. We illustrate ontology emergence by two case studies, an analysis of a large scale folksonomy system and a novel method for the extraction of community-based ontologies from Web pages.
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Vrije Universiteit, Amsterdam, 1081HV, Amsterdam, The Netherlands
Peter Mika
- Peter Mika
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Editors and Affiliations
USC Information Sciences Institute, 4676 Admiralty Way, Marina del Rey, P.O. Box, 90292, CA
Yolanda Gil
Knowledge Media Institute, The Open University, Milton Keynes, UK
Enrico Motta
iSOCO, P.O. Box, Spain
V. Richard Benjamins
Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, US
Mark A. Musen
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Mika, P. (2005). Ontologies Are Us: A Unified Model of Social Networks and Semantics. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds) The Semantic Web – ISWC 2005. ISWC 2005. Lecture Notes in Computer Science, vol 3729. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11574620_38
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