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ONTECTAS: Bridging the Gap between Collaborative Tagging Systems and Structured Data

  • Ali Moosavi
  • Tianyu Li
  • Laks V. S. Lakshmanan
  • Rachel Pottinger
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6741)

Abstract

Ontologies define a set of terms and the relationships (e.g., is-a and has-a) between them; they are the building block of the emerging semantic web. An ontology relating the tags in a collaborative tagging system (CTS) makes the CTS easier to understand. We propose an algorithm to automatically construct an ontology from CTS data and conduct a detailed empirical comparison with previous related work on four real data sets – Del.icio.us, LibraryThing, CiteULike, and IMDb. We also verify the effectiveness of our algorithm in detecting is-a and has-a relationships.

Keywords

ontology taxonomy tag collaborative tagging systems 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Ali Moosavi
    • 1
  • Tianyu Li
    • 1
  • Laks V. S. Lakshmanan
    • 1
  • Rachel Pottinger
    • 1
  1. 1.University of British ColumbiaVancouverCanada

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