|Table of Contents|

[1] Li Ling, Tang Shengqun, Xiao Ruliang, Fang Lina, et al. Context-driven reconciliation in ontology integration [J]. Journal of Southeast University (English Edition), 2007, 23 (3): 365-368. [doi:10.3969/j.issn.1003-7985.2007.03.011]
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Context-driven reconciliation in ontology integration()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
23
Issue:
2007 3
Page:
365-368
Research Field:
Computer Science and Engineering
Publishing date:
2007-09-30

Info

Title:
Context-driven reconciliation in ontology integration
Author(s):
Li Ling Tang Shengqun Xiao Ruliang Fang Lina Deng Xinguo Xu Youwei Xu Yang
State Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, China
Keywords:
semantic web context reconciliation ontology integration migration rules
PACS:
TP311
DOI:
10.3969/j.issn.1003-7985.2007.03.011
Abstract:
In order to solve the semantic irreconcilable problems caused by contextual differences during the process of ontology integration, a context-driven reconciliation mechanism is proposed.The mechanism is based on the previous work about a context-based formalism—Context-SHOIQ(D+)DL, which is used for explicitly representing context of ontology by adopting the description logic and the category theory.The formalism is extended by adding four migration rules(InclusionRule, SelectionRule, PreferenceRule, and MappingRule), that are used to specify what should be imported into the IntegrativeContext, and three related contextual integration operations of increasing interoperability(import, partial reconciliation, and full reconciliation).While not exhaustive, the mechanism is sufficient for solving the five types of semantic irreconcilable problems that are discussed, and favors integration of ontologies from one context to another.

References:

[1] Pinto H S, Perez A G, Martins J P.Some issues on ontology integration [C]//Proc of the IJCAI-99 Workshop on Ontologies and Problem-Solving Methods.Sweden, 1999:1-12.
[2] Serafini L, Bouquet P.Comparing formal theories of context in AI [J].Artificial Intelligence, 2004, 155(1/2):41-67.
[3] McCarthy J.Notes on formalizing context [C]//Proc of the IJCAI-93.France, 1993:555-560.
[4] Lenat Douglas B.Cyc:a large-scale investment in knowledge infrastructure [J].Communications of the Association for Computing Machinery, 1995, 38(11):32-38.
[5] Wang Xiaohang, Zhang Daqing, Gu Tao, et al.Ontology based context modeling and reasoning using OWL [C]//Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications (PERCOMW’04).Washington, DC, USA, 2004:18-22.
[6] Bouquet P, Giunchiglia F, van Harmelen F, et al.C-OWL:contextualizing ontologies [C]//Proceedings of the Second International Semantic Web Conference (ISWC’2003).Sanibel Island, Florida, 2003:164-179.
[7] De Leenheer P, de Moor A.Context-driven disambiguation in ontology elicitation [C]//Proceedings of the AAAI 2005 Workshop on Contexts and Ontologies.Pittsburg, USA, 2005:17-24.
[8] Guha R, McCool R, Fikes R.Contexts for the semantic web [C]//Proceedings of the 3rd International Semantic Web Conference (ISWC’2004).Hiroshima, Japan, 2004:32-46.
[9] Xiao Ruliang, Tang Shengqun, Li Ling, et al.Using categorical Context-SHOIQ(D+)DL to migrate between the context-aware scenes [C]//Proc of the WISE2006.Wuhan, China, 2006:454-459.
[10] Zheng Jijuan.A formalism of contextualized predicate calculus for information integration [C]//Proc of the OTM Workshops 2003.Catania, Italy, 2003:30-31.

Memo

Memo:
Biographies: Li Ling(1981—), female, graduate; Tang Shengqun(corresponding author), male, professor, tangshengqun111@yahoo.com.cn.
Last Update: 2007-09-20