In our work the traditional bipartite model of ontologies is extended 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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%0 Journal Article
%1 mika2007ontologies
%A Mika, Peter
%D 2007
%J Web Semantics: Science, Services and Agents on the World Wide Web
%K network_analysis ontology tagging
%N 1
%P 5--15
%T Ontologies are us: A unified model of social networks and semantics
%U http://portal.acm.org/citation.cfm?id=1229184.1229195
%V 5
%X In our work the traditional bipartite model of ontologies is extended 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.
@article{mika2007ontologies,
abstract = {In our work the traditional bipartite model of ontologies is extended 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. },
added-at = {2012-07-21T19:52:19.000+0200},
author = {Mika, Peter},
biburl = {https://www.bibsonomy.org/bibtex/2adc44fb1284b7f5a0de43649ff80c4ac/pseiti},
description = {Ontologies are us},
interhash = {5bba04607af19c94d2438ae13f362649},
intrahash = {adc44fb1284b7f5a0de43649ff80c4ac},
journal = {Web Semantics: Science, Services and Agents on the World Wide Web},
keywords = {network_analysis ontology tagging},
month = {March},
number = 1,
pages = {5--15},
timestamp = {2012-07-21T19:52:19.000+0200},
title = {Ontologies are us: A unified model of social networks and semantics},
url = {http://portal.acm.org/citation.cfm?id=1229184.1229195},
volume = 5,
year = 2007
}