A Revised Distributed Interpretation for Ontology Integration

Article Preview

Abstract:

Under the background of information integration, the semantics of ontology integration is still an open issue. In this paper, we propose a revised distributed interpretation which is adapted from distributed description logics. In our proposal, ontology integration is taken as global ontology and local ontologies connected by ontology mapping. They are respectively interpreted with DL semantics and Semantic Import semantics. In this way, our method can facilitate understanding and maintenance of ontology integration.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

3440-3445

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Bao, J. Caragea, D. and Honavar, V.G. Modular Ontologies – A Formal Investigation of Semantics and Expressivity. In proc. of ASWC2006, pp.616-631. Springer, Heidelberg. (2006).

DOI: 10.1007/11836025_60

Google Scholar

[2] Bao, J. Caragea, D., and Honavar, V. A Distributed tableau algorithm for package-based Descrption Logics. In the 2nd International Workshop On Context Representation And Reasoning(CRR2006), (2006).

Google Scholar

[3] Borgida, A. and Serafini, L. Distributed Description Logics: Directed Domain Correspondences in Federated Information Sources. In proc. of CoopIS/DOA/ ODBASE2002, pp.36-52. (2002).

DOI: 10.1007/3-540-36124-3_3

Google Scholar

[4] Borgida,A., and Serafini,L. Distributed description logics: Assimilating information form peer sources. Journal on Data Semantics. pp.153-184. (2003).

DOI: 10.1007/978-3-540-39733-5_7

Google Scholar

[5] Chen, H., Wu, Z., Wang, H. and Mao, Y. RDF/RDFS-based Relational Database Integration. In proc. of ICDE2006. (2006).

DOI: 10.1109/icde.2006.127

Google Scholar

[6] Dou, D., LePendu, P. Ontology-based Integration for Relational Databases. In proc. of SAC2006, Dijon France, pp.461-466. (2006).

Google Scholar

[7] Fahad, M., Moalla, N., Bouras, A. Towards ensuring Satisfiablity of Merged Ontology. Procedia Computer Science, vol4, pp.2216-2225. (2011).

DOI: 10.1016/j.procs.2011.04.242

Google Scholar

[8] Flouris,G., Manakanatas, D., Kondylakis, H., Plexousakis, D. and Antoniou, G. Ontology change: classification and survey. The Knowledge Engineering Review, vol. 23: 2, pp.117-152. Cambridge University Press. (2008).

DOI: 10.1017/s0269888908001367

Google Scholar

[9] Grau B.C., Parsia, B. an Evren Sirin. Combining OWL ontologies using E-connections. Journal of Web Semantics, vol. 4, pp.40-59. (2006).

DOI: 10.1016/j.websem.2005.09.010

Google Scholar

[10] Jimernez-Ruiz, E., Grau, B.C., Horrocks, I., and Rafael Berlanga. Ontology Integration Using Mappings: Towards Getting the Right Logical Consequences. In proc. of ESWC2009, pp.173-187. Springer Heidelberg. (2009).

DOI: 10.1007/978-3-642-02121-3_16

Google Scholar

[11] Pan J.Z., Serafini, L. and Zhao, Y. Semantic Import: An Approach for Partial Ontology Reuse. In 1st International Workshop on Modular Ontologies(WoMo2006), co-located with ISWC2006. (2006).

Google Scholar

[12] Serafini,L., Tamilin, A. DRAGO: Distributed Reasoning Architecture for the semantic web. In proc. of ESWC2005, pp.361-376. Springer, Heidelberg. (2005).

DOI: 10.1007/11431053_25

Google Scholar

[13] Serafini, L., Borgida, A. Tamilin, A. Aspects of distributed and modular ontology reasoning. In proc. of IJCAI2005. (2005).

Google Scholar

[14] Wache,H., Vogele, T., Visser, U., Stuckenschmidt, H., Schuster, G, Neumann, H. and Hubner, S. Ontology-based Integration of Information – A survey of existing approaches. In proc. of IJCAI2001, Seattle, WA. pp.108-117. (2001).

Google Scholar