Knowledge Elicitation Plug-In for Protégé: Card Sorting and Laddering

  • Yimin Wang
  • York Sure
  • Robert Stevens
  • Alan Rector
Conference paper

DOI: 10.1007/11836025_53

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4185)
Cite this paper as:
Wang Y., Sure Y., Stevens R., Rector A. (2006) Knowledge Elicitation Plug-In for Protégé: Card Sorting and Laddering. In: Mizoguchi R., Shi Z., Giunchiglia F. (eds) The Semantic Web – ASWC 2006. ASWC 2006. Lecture Notes in Computer Science, vol 4185. Springer, Berlin, Heidelberg

Abstract

Ontologies have been widely accepted as the primary method of representing knowledge in the Semantic Web. Knowledge Elicitation (KE) is usually one of the first steps in building ontologies. A number of ontology editors such as Protégé have been developed to assist users in building ontologies efficiently. However, traditional KE techniques, such as card sorting and laddering, are not yet supported, but performed manually and outside of such tools. In this paper we present a methodology and a corresponding plug-in for Protégé that allows graphical ellicitation knowledge from documents using card sorting and laddering approaches. Our aim is to seamlessly integrate the KE techniques into the ontology building process to make ontology building more efficient and less error-prone. As a side-effect the persistent storage of card sorting and laddering results allows for later traceability of ontology development. KE largely depends on user interaction with the plug-in, therefore we employed user-centred design principles to capture requirements. After implementation, the plug-in was evaluated thoroughly against the requirements. The evaluation shows that this KE plug-in meets many of the user’s expectations and indeed saves them considerable time when building ontologies.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yimin Wang
    • 1
  • York Sure
    • 1
  • Robert Stevens
    • 2
  • Alan Rector
    • 2
  1. 1.Institute AIFBUniversity of KarlsruheGermany
  2. 2.School of Computer ScienceUniversity of ManchesterUK

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