BibSonomy :: bibtex  ::

tag user group author concept BibTeX key search:all search:msn
A blue social bookmark and publication sharing system.
tags · relations · groups · popular
help · blog · about
login · register
msn's BibTeX entry:  

Ontologies Are Us: A Unified Model of Social Networks and Semantics.

The Semantic Web - ISWC 2005, Proceedings of the 4th International Semantic Web Conference, ISWC 2005, Galway, Ireland, November 6-10, 3729: 522-536, 2005.
Authors: Peter Mika
Editors: Yolanda Gil and Enrico Motta and V. Richard Benjamins and Mark A. Musen
URL: http://www.cs.vu.nl/~pmika/research/papers/ISWC-folksonomy.pdf
Tags: mrefs research.kr.ontologies research.web20
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.
| URL | BibTeX  
@inproceedings{mika05ontologies,
title = {Ontologies Are Us: A Unified Model of Social Networks and Semantics.},
author = {Peter Mika},
booktitle = {The Semantic Web - ISWC 2005, Proceedings of the 4th International Semantic Web Conference, ISWC 2005, Galway, Ireland, November 6-10},
editor = {Yolanda Gil and Enrico Motta and V. Richard Benjamins and Mark A. Musen},
pages = {522-536},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
url = {http://www.cs.vu.nl/~pmika/research/papers/ISWC-folksonomy.pdf},
volume = {3729},
year = {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.},
longnotes = {[[http://citeseer.ist.psu.edu/739485.html citeseer]]}, pdf = {mika05-ontologies.pdf}, lastname = {Mika}, lastdatemodified = {2006-09-26}, read = {notread}, own = {notown},
keywords = {mrefs research.kr.ontologies research.web20 }
}