Abstract
Most of current ontology mapping methods can not treat different mapping tasks in different ways referred to the features of the input ontology. And they combine different mapping strategies without full consideration of the influences on mapping results caused by mapping strategies. In view of the above questions, this paper proposes a dynamic mapping policy selection method which can pre-select mapping strategy and use entropy decision-making method to determine the combined weight of the selected strategy. Experiments show that this method can maintain the stability and the commonality, and improve the recall ratio and the precision ratio at the same time.
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.
References
Euzenat, J.: An API for ontology alignment. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 698–712. Springer, Heidelberg (2004)
Blondel, V.D., Gajardo, A., Heymans, M., Senellart, P., Van Dooren, P.: A Measure of Similarity between Graph VerticesCoRR, cs. In: IR/0407061 (2004)
Tous, R., Delgado, J.: A vector space model for semantic similarity calculation and OWL ontology alignment. In: Bressan, S., Küng, J., Wagner, R. (eds.) DEXA 2006. LNCS, vol. 4080, pp. 307–316. Springer, Heidelberg (2006)
Caracciolo, C., Euzenat, J., Hollink, L., Ichise, R., Isaac, A., Malaisé, V., Meilicke, C., Pane, J., Shvaiko, P., Stuckenschmidt, H., Svab, O., Svatek, V.: First results of the Ontology Alignment Evaluation Initiative 2008. In: The Third International Workshop on Ontology Matching (2008)
Spiliopoulos, V., Vouros, G., Karkaletsis, V.: Mapping Ontologies Elements using Features in a Latent Space. In: The 2007 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2007), Silicon Valley, USA (2007)
Jean-Mary, Y.R., Shironoshita, E.P., Kabukaa, M.R.: Ontology matching with semantic verification. Web Semantics: Science, Services and Agents on the World Wide Web 7, 235–251 (2009)
Lin, D.: An information-theoretic definition of similarity. In: Proceedings of 15th International Conference of Machine Learning (ICML), pp. 296–304 (1998)
Pirró, G., Talia, D.: UFOme: An ontology mapping system with strategy prediction capabilities. In: Data Knowl. Eng. (2010), doi:10.1016/j.datak.2009.12.002
Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet Allocation. Journal of Machine Learning Research 3, 993–1022 (2003)
Blondel, V.D., Gajardo, A., Heymans, M., Senellart, P., Van Dooren, P.: A Measure of Similarity between Graph Vertices. In: CoRR, cs.IR/0407061 (2004)
Li, J., Tang, J. (Member, IEEE), Li, Y., Luo, Q.: RiMOM: A Dynamic Multistrategy Ontology Alignment Framework. IEEE Transactions on Knowledge and Data Engineering (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, R., Wu, J., Liu, L. (2010). Strategies Prediction and Combination of Multi-strategy Ontology Mapping. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Communications in Computer and Information Science, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16339-5_29
Download citation
DOI: https://doi.org/10.1007/978-3-642-16339-5_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16338-8
Online ISBN: 978-3-642-16339-5
eBook Packages: Computer ScienceComputer Science (R0)