Ontologies Are Us: A Unified Model of Social Networks and Semantics.
P. Mika. The Semantic Web - ISWC 2005, Proceedings of the 4th International Semantic Web Conference, ISWC 2005, Galway, Ireland, November 6-10, volume 3729 of Lecture Notes in Computer Science, page 522-536. Springer, (2005)
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.
%0 Conference Paper
%1 mika05-ontologies
%A Mika, Peter
%B The Semantic Web - ISWC 2005, Proceedings of the 4th International Semantic Web Conference, ISWC 2005, Galway, Ireland, November 6-10
%D 2005
%E Gil, Yolanda
%E Motta, Enrico
%E Benjamins, V. Richard
%E Musen, Mark A.
%I Springer
%K 2005 erweiterung extension folksonomy learning mika model ontologie ontology
%P 522-536
%T Ontologies Are Us: A Unified Model of Social Networks and Semantics.
%U http://www.cs.vu.nl/~pmika/research/papers/ISWC-folksonomy.pdf
%V 3729
%X 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.
@inproceedings{mika05-ontologies,
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.},
added-at = {2008-03-28T23:35:05.000+0100},
author = {Mika, Peter},
biburl = {https://www.bibsonomy.org/bibtex/2426c2fd559bb4e41c4f67d4eed0a39c7/jil},
booktitle = {The Semantic Web - ISWC 2005, Proceedings of the 4th International Semantic Web Conference, ISWC 2005, Galway, Ireland, November 6-10},
editor = {Gil, Yolanda and Motta, Enrico and Benjamins, V. Richard and Musen, Mark A.},
interhash = {5ea12110b5bb0e3a8ad09aeb16a70cdb},
intrahash = {426c2fd559bb4e41c4f67d4eed0a39c7},
keywords = {2005 erweiterung extension folksonomy learning mika model ontologie ontology},
lastdatemodified = {2006-09-26},
lastname = {Mika},
longnotes = {[[http://citeseer.ist.psu.edu/739485.html citeseer]]},
own = {notown},
pages = {522-536},
pdf = {mika05-ontologies.pdf},
publisher = {Springer},
read = {notread},
series = {Lecture Notes in Computer Science},
timestamp = {2013-11-23T20:11:51.000+0100},
title = {Ontologies Are Us: A Unified Model of Social Networks and Semantics.},
url = {http://www.cs.vu.nl/~pmika/research/papers/ISWC-folksonomy.pdf},
volume = 3729,
year = 2005
}