Abstract
In this paper, we propose a solution to the problem of merging ontologies when instances associated to two source ontologies are available. The solution we propose is based on Formal Concept Analysis (FCA) and considers that ontologies are formalized in expressive Description Logics. Our approach creates a merged ontology which captures the knowledge of the two source ontologies. Contributions of this work are (i) enabling the creation of concepts not originally in the source ontologies, (ii) providing a definition to these concepts in terms of elements of both ontologies and (iii) optimizing the merged ontology. We have studied our approach in the context of spatial information, a domain which exploits many existing ontologies represented with Description Logics.
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
Baader, F., Calvanese, D., McGuinness, D.L., Nardi, D., Patel-Schneider, P.F.: The Description Logic Handbook: Theory, Implementation, and Applications. Cambridge University Press, New York (2003)
Baader, F., Ganter, B., Sertkaya, B., Sattler, U.: Completing Description Logic Knowledge Bases Using Formal Concept Analysis. In: Proc. IJCAI 2007, pp. 230–235 (2007)
Curé, O., Jeansoulin, R.: An FCA-based Solution for Ontology Mediation. In: Proc. CIKM workshops (2008) (to appear)
Davey, B., Priestley, H.: Introduction to lattices and Order. Cambridge University Press, New York (2002)
Dong, X., Halevy, A., Madhavan, J.: Reference reconciliation in complex information spaces. In: Proc. SIGMOD 2005, pp. 85–96 (2005)
Dou, D., McDermott, D., Qi, P.: Ontology translation by ontology merging and automated reasoning. In: Proc. EKAW 2002, pp. 3–18 (2002)
Ehrig, M.: Ontology Alignment: Bridging the Semantic Gap. Springer, New York (2006)
Ganter, B., Wille, R.: Formal Concept Analysis: mathematical foundations. Springer, New York (1999)
Kalfoglou, Y., Schorlemmer, M.: Ontology mapping: the state of the art. Knowledge Engineering Review 18(1), 1–31 (2003)
Kanellakis, P.C.: Elements of relational database theory. In: Handbook of theoretical computer science. Formal models and semantics, vol. B, pp. 1073–1156. MIT Press, Cambridge (1990)
Motik, B., Horrocks, I., Sattler, U.: Bridging the gap between OWL and relational databases. In: Proc. WWW 2007 (2007)
Noy, N., Musen, M.: PROMPT: Algorithm and tool for automated ontology merging and alignment. In: Proc. AAAI 2000 (2000)
Poggi, A., Lembo, D., Calvanese, D., De Giacomo, G., Lenzerini, M., Rosati, R.: Linking Data to Ontologies. In: Spaccapietra, S. (ed.) Journal on Data Semantics X. LNCS, vol. 4900, pp. 133–173. Springer, Heidelberg (2008)
Stumme, G., Maedche, A.: FCA-MERGE: Bottom-Up Merging of Ontologies. In: Proc. IJCAI 2001, pp. 225–234 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Curé, O. (2009). Merging Expressive Ontologies Using Formal Concept Analysis. In: Meersman, R., Herrero, P., Dillon, T. (eds) On the Move to Meaningful Internet Systems: OTM 2009 Workshops. OTM 2009. Lecture Notes in Computer Science, vol 5872. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05290-3_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-05290-3_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05289-7
Online ISBN: 978-3-642-05290-3
eBook Packages: Computer ScienceComputer Science (R0)