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Community-Driven Ontology Evolution Based on Folksonomies
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Capturing Community Meaning
Community-Driven Ontology Evolution Based on Folksonomies
Domenico Gendarmi1 and Filippo Lanubile1 
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University of Bari, Dipartimento di Informatica, Via E. Orabona, 4 – 70125, Bari, Italy |
Abstract
The Semantic Web mission is to enable a better organization of the Web content to improve the searching, navigation and integration
of the available information. Although the Semantic Web is intended for machines, the process of creating and maintaining
it is a social one: only people, for example, have necessary skills to create and maintain ontologies. While most existing
ontologies are designed by single individuals or small groups of experts, actual ontology users are not involved in the development
process. Such an individual approach in creating ontologies, lead to a weak community grounding. On the other hand, Social
Software is becoming increasingly popular among web users, giving opportunities to exploit the potential of collaboration
within a community. Tools like wikis and folksonomies allow users to easily create new content and share contributions over
a social network. Social Software tools can go beyond their current limits, by exploiting the power provided by semantic technologies.
Conversely, Semantic Web tools can benefit from the ability of Social Software in fostering collaboration among users, by
lowering entry barriers. In this paper we propose a new approach for ontology evolution, considering collaborative tagging
systems as an opportunity to complement classic approaches used in maintaining ontologies.
Keywords: folksonomy, collaborative tagging, ontology evolution, social software, semantic web, semantic collaboration.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11915034_125.
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