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Enabling Folksonomies for Knowledge Extraction: A Semantic Grounding Approach

Author

Listed:
  • 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)

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.

Suggested Citation

  • Andrés García-Silva & Iván Cantador & Oscar Corcho, 2012. "Enabling Folksonomies for Knowledge Extraction: A Semantic Grounding Approach," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 8(3), pages 24-41, July.
    • Handle: RePEc:igg:jswis0:v:8:y:2012:i:3:p:24-41
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