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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Agrawal, R., Imielinski, T., Swami, A.N.: Mining association rules between sets of items in large databases. In: ACM SIGMOD International Conference on Management of Data, pp. 207–216 (1993)
Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: International Conference on Very Large Data Bases, pp. 487–499 (1994)
Cosley, D., Frankowski, D., Terveen, L., Riedl, J.: Suggestbot: Using intelligent task routing to help people find work in wikipedia. In: International Conference on Intelligent User Interfaces, pp. 32–41 (2007)
De Leenheer, P., Debruyne, C., Peeters, J.: Towards social performance indicators for community-based ontology evolution. In: Workshop on Collaborative Construction, Management and Linking of Structured Knowledge at the International Semantic Web Conference (2009)
Falconer, S.M., Tudorache, T., Noy, N.F.: An analysis of collaborative patterns in large-scale ontology development projects. In: International Conference on Knowledge Capture, pp. 25–32 (2011)
Gibson, A., Wolstencroft, K., Stevens, R.: Promotion of ontological comprehension: Exposing terms and metadata with web 2.0. In: Workshop on Social and Collaborative Construction of Structured Knowledge (2007)
GO Consortium: Creating the Gene Ontology resource: design and implementation. Genome Res. 11(8), 1425–1433 (2001)
Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software: an update. SIGKDD Explorations 11(1), 10–18 (2009)
Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers (2001)
Hartung, M., Kirsten, T., Gross, A., Rahm, E.: Onex: Exploring changes in life science ontologies. BMC Bioinformatics 10, 250 (2009)
Malone, J., Stevens, R.: Measuring the level of activity in community built bio-ontologies. Journal of Biomedical Informatics 46(1), 5–14 (2013)
Noy, N.F., Chugh, A., Liu, W., Musen, M.A.: A framework for ontology evolution in collaborative environments. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L.M. (eds.) ISWC 2006. LNCS, vol. 4273, pp. 544–558. Springer, Heidelberg (2006)
Pesquita, C., Couto, F.M.: Predicting the extension of biomedical ontologies. PLoS Computational Biology 8(9) (2012)
Pöschko, J., Strohmaier, M., Tudorache, T., Noy, N.F., Musen, M.A.: Pragmatic analysis of crowd-based knowledge production systems with icat analytics: Visualizing changes to the icd-11 ontology. In: AAAI Spring Symposium on Wisdom of the Crowds, pp. 59–64 (2012)
Rector, A.L., Drummond, N., Horridge, M., Rogers, J., Knublauch, H., Stevens, R., Wang, H., Wroe, C.: OWL pizzas: Practical experience of teaching OWL-DL: Common errors & common patterns. In: International Conference on Knowledge Engineering and Knowledge Management, pp. 63–81 (2004)
Sebastian, A., Noy, N.F., Tudorache, T., Musen, M.A.: A generic ontology for collaborative ontology-development workflows. In: International Conference on Knowledge Engineering and Knowledge Management, pp. 318–328 (2008)
Sioutos, N., de Coronado, S., Haber, M., Hartel, F., Shaiu, W., Wright, L.: NCI Thesaurus: A semantic model integrating cancer-related clinical and molecular information. Journal of Biomedical Informatics 40(1), 30–43 (2007)
Strohmaier, M., Walk, S., Pöschko, J., Lamprecht, D., Tudorache, T., Nyulas, C., Musen, M.A., Noy, N.F.: How ontologies are made: Studying the hidden social dynamics behind collaborative ontology engineering projects. Journal of Web Semantics 20, 18–34 (2013)
Tudorache, T., Falconer, S., Nyulas, C., Noy, N.F., Musen, M.A.: Will semantic web technologies work for the development of ICD-11? In: Patel-Schneider, P.F., Pan, Y., Hitzler, P., Mika, P., Zhang, L., Pan, J.Z., Horrocks, I., Glimm, B. (eds.) ISWC 2010, Part II. LNCS, vol. 6497, pp. 257–272. Springer, Heidelberg (2010)
Tudorache, T., Nyulas, C., Noy, N.F., Musen, M.A.: WebProtégé: A collaborative ontology editor and knowledge acquisition tool for the web. Semantic Web Journal 4(1), 89–99 (2013)
Walk, S., Pöschko, J., Strohmaier, M., Andrews, K., Tudorache, T., Noy, N.F., Nyulas, C., Musen, M.A.: Pragmatix: An interactive tool for visualizing the creation process behind collaboratively engineered ontologies. International Journal on Semantic Web and Information Systems to appear (Special issue on Visualisation of and Interaction with Semantic Web Data) (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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)