Abstract
The problem of ontology alignment is based on finding mappings between instances, concepts and relations of two ontologies which (following Gruber’s work [8]) can be defined as explicit specification of decomposition of some part of reality. This specification spreads over three levels of detail: the concept attribute level, the concept level and the relation level. This paper concentrates on identifying matches between relations of concepts which describe how these entities interact with each other. After careful analysis we have noticed that this level can be a source of many inconsistencies when two ontologies are blindly integrated. We take our work on attribute-based concept alignment and the consensus theory as a starting point. We extend it to handle the issues that appear when aligning relations. We give formal definitions along with careful formalization of set of requirements that eventual mapping algorithm should satisfy in order to reliably designate matches between ontologies on relation level.
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
Batet, M., Sanchez, D., Valls, A.: An ontology-based measure to compute semantic similarity in biomedicine. Journal of Biomedical Informatics 44(1), 118–125 (2011)
Day, W.H.E.: Consensus methods as tools for data analysis. In: Bock, H.H. (ed.) Classification and Related Methods for Data Analysis, pp. 312–324. North-Holland (1988)
Dellschaft, K., Staab, S.: On How to Perform a Gold Standard Based Evaluation of Ontology Learning. 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. 228–241. Springer, Heidelberg (2006)
Duong, T.H., Jo, G.S., Jung, J.J., Nguyen, N.T.: Complexity analysis of ontology integration methodologies: A comparative study. Journal of Universal Computer Science 15, 877–897 (2009)
Euzenat, J., Shvaiko, P.: Ontology Matching, 1st edn. Springer, Heidelberg (2007)
Euzenat, J., Meilicke, C., Stuckenschmidt, H., Shvaiko, P., Trojahn, C.: Ontology Alignment Evaluation Initiative: Six Years of Experience. In: Spaccapietra, S. (ed.) Journal on Data Semantics XV. LNCS, vol. 6720, pp. 158–192. Springer, Heidelberg (2011)
Giunchiglia, F., Shvaiko, P., Yatskevich, M.: Semantic Schema Matching. In: Meersman, R. (ed.) OTM 2005. LNCS, vol. 3760, pp. 347–365. Springer, Heidelberg (2005)
Gruber, T.R.: A translation approach to portable ontology specifications. Knowledge Acquisition 5(2), 199–220 (1993)
Grau, B.C., Horrocks, I., Motik, B., Parsia, B., Patel-Schneider, P., Sattler, U.: OWL 2: The next step for OWL. Web Semantics: Science. Services and Agents on the World Wide Web 6, 309–322 (2008)
Nguyen, N.T.: Advanced Methods for Inconsistent Knowledge Management. Advanced Information and Knowledge Processing. Springer (2008)
Nguyen, N.T.: A Method for Ontology Conflict Resolution and Integration on Relation Level. Cybernetics and Systems 38(8), 781–797 (2007)
Pietranik, M., Nguyen, N.T.: A Method for Ontology Alignment Based Attribute Semantics. Cybernetics and Systems 43(4), 319–339 (2012)
Pietranik, M., Nguyen, N.T.: A Multi-attribute and Logic-Based Framework of Ontology Alignment. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds.) Multimedia and Internet Systems: Theory and Practice. AISC, vol. 183, pp. 99–108. Springer, Heidelberg (2013)
Pietranik, M., Nguyen, N.T.: Attribute Mapping as a Foundation of Ontology Alignment. In: Nguyen, N.T., Kim, C.-G., Janiak, A. (eds.) ACIIDS 2011, Part I. LNCS, vol. 6591, pp. 455–465. Springer, Heidelberg (2011)
Pietranik, M., Nguyen, N.T.: Semantic Distance Measure between Ontology Concept’s Attributes. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds.) KES 2011, Part I. LNCS, vol. 6881, pp. 210–219. Springer, Heidelberg (2011)
Shvaiko, P., Euzenat, J., Giunchiglia, F., Stuckenschmidt, H., Mao, M., Cruz, I.: Proceedings of the 5th International Workshop on Ontology Matching (2010), http://ceur-ws.org/Vol-689/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pietranik, M.M., Nguyen, N.T. (2012). Ontology Relation Alignment Based on Attribute Semantics. In: Nguyen, NT., Hoang, K., Jȩdrzejowicz, P. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2012. Lecture Notes in Computer Science(), vol 7654. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34707-8_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-34707-8_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34706-1
Online ISBN: 978-3-642-34707-8
eBook Packages: Computer ScienceComputer Science (R0)