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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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Authors and Affiliations
Department of Computer and Information Science, 1202 University of Oregon, Eugene, OR, 97403, USA
Hao Wang & Dejing Dou
Stanford Center for Biomedical Information Research, Stanford University, 1265 Welch Road, Stanford, CA, 94305, USA
Tania Tudorache, Natalya F. Noy & Mark A. Musen
- Hao Wang
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- Tania Tudorache
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- Dejing Dou
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- Natalya F. Noy
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- Mark A. Musen
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Editors and Affiliations
STAR Lab, Vrije Universiteit Brussel, Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium
Robert Meersman
CRAN, University of Lorraine, Campus Sciences, BP 70239, 54506, Vandoevre-les-Nancy, France
Hervé Panetto
Computer Science and Computer Engineering, La Trobe University, 3086, Melbourne, Victoria, Australia
Tharam Dillon
Dept. of Informatics Systems, University of Klagenfurt, Universitaetsstrasse 65, 9020, Klagenfurt, Austria
Johann Eder
LIRMM, University of Montpellier II, 161 Rue Ada, 34392, Montpellier Cedex 5, France
Zohra Bellahsene
Department of Informatics, University of Hamburg, 22527, Hamburg, Germany
Norbert Ritter
Department of Computer Sciences, VU University Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands
Pieter De Leenheer
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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