Abstract
Ontology evolution is the process of incrementally and consistently adapting an existing ontology to changes in the relevant domain. Semantic drift refers to how ontology concepts’ intentions gradually change as the domain evolves. Normally, a semantic drift captures small domain changes that are hard to detect with traditional ontology management tools or ontology learning methods, but may be important to the maintenance of the ontology. This paper discusses a new approach to detecting semantic drift that makes use of concept signatures reflecting the textual references to concepts over time. Comparing how signatures change over time, we see how concepts’ semantic content evolves and how their relationships to other concepts gradually reflect these changes. An experiment with the DNV’s business sector ontology from 2004 and 2008 demonstrates the value of this approach to ontology evolution.
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
Gruber, T.: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5(2), 199–220 (1993)
Stojanovic, L.: Methods and Tools for Ontology Evolution. PhD thesis. University of Karlsruhe (2004)
Gulla, J.A.: Experiences with Industrial Ontology Engineering. In: Filipe, J., Cordeiro, J. (eds.) Enterprise Information Systems. LNBIP, vol. 19, Springer, Heidelberg (2009)
Solskinnsbakk, G., Gulla, J.A., Haderlein, V., Myrseth, P., Cerrato, O.: Quality of Subsumption Hierarchies in Ontologies. In: Accepted for publication at NLDB 2009: 14th International Conference on Applications of Natural Language to Information Systems, June 24-26, pp. 24–26. Saarland University, Saarbrücken (2009)
Haase, P., Sure, Y.: D3.1.1.b State of the Art on Ontology Evolution. SEKT Deliverable (2004)
Gulla, J.A., Sugumaran, V.: An Interactive Ontology Learning Workbench for Non-Experts. In: Proceedings of the 2nd International Workshop on Ontologies and Information Systems for the Semantic Web (ONISW 2008), Napa Valley, pp. 971–978. ACM Press, New York (2008) ISBN 978-1-60558-225-9
Flouris, G., Plexousakis, D., Antoniou, G.: A Classifiation of Ontology Change. In: Proceedings of the 3rd Italian Semantic Web Workshop, Semantic Web Applications and Perspectives, SWAP (2006)
Lee, K., Meyer, T.: A Classification of Ontology Modification. In: Proceedings of the 17th Australian Joint Conference on Artificial Intelligence (2004)
Noy, N., Chugh, A., Liu, W., Musen, M.: 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, Springer, Heidelberg (2006)
Enkhsaikhan, M., Wong, W., Liu, W., Reynolds, M.: Measuring Data-Driven Ontology Changes using Text Mining. In: Proceedings of the Sixth Australiasian Conference on Data Mining and Analytics, pp. 39–46 (2007)
Foo, N.: Ontology Revision. In: Ellis, G., Rich, W., Levinson, R., Sowa, J.F. (eds.) ICCS 1995. LNCS, vol. 954, pp. 16–31. Springer, Heidelberg (1995)
Wassermann, R.: Revising Concepts. In: Proceedings of the 5th Workshop on Logic, Language, Information and Communication, WoLLIC 1998 (1998)
Su, X., Gulla, J.A.: An Information Retrieval Approach to Ontology Mapping. Data & Knowledge Engineering 58(1), 47–69 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gulla, J.A., Solskinnsbakk, G., Myrseth, P., Haderlein, V., Cerrato, O. (2011). Concept Signatures and Semantic Drift. In: Filipe, J., Cordeiro, J. (eds) Web Information Systems and Technologies. WEBIST 2010. Lecture Notes in Business Information Processing, vol 75. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22810-0_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-22810-0_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22809-4
Online ISBN: 978-3-642-22810-0
eBook Packages: Computer ScienceComputer Science (R0)