Ontologies are us: A unified model of social networks and semantics
P. Mika. Web Semantics: Science, Services and Agents on the World Wide Web, 5 (1):
5--15(March 2007)
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.
%0 Journal Article
%1 mika07ontologies
%A Mika, Peter
%B Selected Papers from the International Semantic Web Conference, International Semantic Web Conference (ISWC2005)
%D 2007
%J Web Semantics: Science, Services and Agents on the World Wide Web
%K research.kr.ontologies research.conceptual.folksonomy research.web20.communities
%N 1
%P 5--15
%T Ontologies are us: A unified model of social networks and semantics
%U http://www.sciencedirect.com/science/article/B758F-4MYF67P-1/2/56984a3ddf4632bb98b722551cdb1151
%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{mika07ontologies,
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 = {2010-10-07T11:09:26.000+0200},
author = {Mika, Peter},
biburl = {https://www.bibsonomy.org/bibtex/213eb27ecb7ed77655f08adefe6186ea5/msn},
booktitle = {Selected Papers from the International Semantic Web Conference, International Semantic Web Conference (ISWC2005)},
interhash = {5bba04607af19c94d2438ae13f362649},
intrahash = {13eb27ecb7ed77655f08adefe6186ea5},
journal = {Web Semantics: Science, Services and Agents on the World Wide Web},
keywords = {research.kr.ontologies research.conceptual.folksonomy research.web20.communities},
month = {#mar#},
number = 1,
pages = {5--15},
timestamp = {2010-10-07T11:09:26.000+0200},
title = {Ontologies are us: A unified model of social networks and semantics},
url = {http://www.sciencedirect.com/science/article/B758F-4MYF67P-1/2/56984a3ddf4632bb98b722551cdb1151},
volume = 5,
year = 2007
}