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Analysis of User Editing Patterns in Ontology Development Projects

  • Conference paper
On the Move to Meaningful Internet Systems: OTM 2013 Conferences (OTM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8185))

Abstract

The development of real-world ontologies is a complex undertaking, commonly involving a group of domain experts with different expertise that work together in a collaborative setting. These ontologies are usually large scale and have a complex structure. To assist in the authoring process, ontology tools are key at making the editing process as streamlined as possible. Being able to predict confidently what the users are likely to do next as they edit an ontology will enable us to focus and structure the user interface accordingly and to enable more efficient interaction and information discovery. In this paper, we use data mining techniques to investigate whether we are able to predict the next editing operation that a user will make based on the change history. We have analyzed the change logs of two real-world biomedical ontologies, and used association rule mining to find editing patterns using different features. We evaluated the prediction accuracy on a test set of change logs for these two ontologies. Our results indicate that we can indeed predict the next editing operation a user is likely to make. We will use the discovered editing patterns to develop a recommendation module for our editing tools, and to design user interface components that are better fitted with the user editing behaviors.

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Author information

Authors and Affiliations

  1. Department of Computer and Information Science, 1202 University of Oregon, Eugene, OR, 97403, USA

    Hao Wang & Dejing Dou

  2. Stanford Center for Biomedical Information Research, Stanford University, 1265 Welch Road, Stanford, CA, 94305, USA

    Tania Tudorache, Natalya F. Noy & Mark A. Musen

Authors
  1. Hao Wang
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  2. Tania Tudorache
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  3. Dejing Dou
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  4. Natalya F. Noy
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  5. Mark A. Musen
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Editor information

Editors and Affiliations

  1. STAR Lab, Vrije Universiteit Brussel, Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. CRAN, University of Lorraine, Campus Sciences, BP 70239, 54506, Vandoevre-les-Nancy, France

    Hervé Panetto

  3. Computer Science and Computer Engineering, La Trobe University, 3086, Melbourne, Victoria, Australia

    Tharam Dillon

  4. Dept. of Informatics Systems, University of Klagenfurt, Universitaetsstrasse 65, 9020, Klagenfurt, Austria

    Johann Eder

  5. LIRMM, University of Montpellier II, 161 Rue Ada, 34392, Montpellier Cedex 5, France

    Zohra Bellahsene

  6. Department of Informatics, University of Hamburg, 22527, Hamburg, Germany

    Norbert Ritter

  7. Department of Computer Sciences, VU University Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands

    Pieter De Leenheer

  8. Computer and Information Science Department, University of Oregon, 97403, Eugene, OR, USA

    Deijing Dou

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Wang, H., Tudorache, T., Dou, D., Noy, N.F., Musen, M.A. (2013). Analysis of User Editing Patterns in Ontology Development Projects. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2013 Conferences. OTM 2013. Lecture Notes in Computer Science, vol 8185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41030-7_34

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  • DOI: https://doi.org/10.1007/978-3-642-41030-7_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41029-1

  • Online ISBN: 978-3-642-41030-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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