Enabling Folksonomies for Knowledge Extraction: A Semantic Grounding Approach

Andrés García-Silva, Iván Cantador and Oscar Corcho
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Andrés García-Silva: Ontology Engineering Group, Universidad Politécnica de Madrid, Spain
Iván Cantador: Information Retrieval Group, Universidad Autónoma de Madrid, Spain
Oscar Corcho: Ontology Engineering Group, Universidad Politécnica de Madrid, Spain

International Journal on Semantic Web and Information Systems (IJSWIS), 2012, vol. 8, issue 3, 24-41

Abstract: Folksonomies emerge as the result of the free tagging activity of a large number of users over a variety of resources. They can be considered as valuable sources from which it is possible to obtain emerging vocabularies that can be leveraged in knowledge extraction tasks. However, when it comes to understanding the meaning of tags in folksonomies, several problems mainly related to the appearance of synonymous and ambiguous tags arise, specifically in the context of multilinguality. The authors aim to turn folksonomies into knowledge structures where tag meanings are identified, and relations between them are asserted. For such purpose, they use DBpedia as a general knowledge base from which they leverage its multilingual capabilities.

Date: 2012
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