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Semi-automatic Construction of Ontology-based CBR System for Knowledge Integration

Authors: Junjie Gao, Guishi Deng

Abstract:

In order to integrate knowledge in heterogeneous case-based reasoning (CBR) systems, ontology-based CBR system has become a hot topic. To solve the facing problems of ontology-based CBR system, for example, its architecture is nonstandard, reusing knowledge in legacy CBR is deficient, ontology construction is difficult, etc, we propose a novel approach for semi-automatically construct ontology-based CBR system whose architecture is based on two-layer ontology. Domain knowledge implied in legacy case bases can be mapped from relational database schema and knowledge items to relevant OWL local ontology automatically by a mapping algorithm with low time-complexity. By concept clustering based on formal concept analysis, computing concept equation measure and concept inclusion measure, some suggestions about enriching or amending concept hierarchy of OWL local ontologies are made automatically that can aid designers to achieve semi-automatic construction of OWL domain ontology. Validation of the approach is done by an application example.

Keywords: OWL ontology, Case-based Reasoning, FormalConcept Analysis, Knowledge Integration

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1086221

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[1] Agnar Aamodt, Enric Plaza, "Case-Based Reasoning:Foundational Issues, Methodological Variations, and System Approaches," AI Communications. IOS Press.1994, Vol.7, pp. 39-59
[2] David W. Aha, "The omnipresence of case-based reasoning in science and application," Knowledge-Based System. 1998, Vol.11, pp. 261-273.
[3] B. Diaz-Agudo and P. A. Gonzalez-Calero, "An Architecture for Knowledge In-tensive CBR Systems," In Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning (EWCBR'00), volume 1898 of LNCS, pages Springer-Verlag, 2000. , pp. 37-48.
[4] B. Diaz-Agudo and P. A. Gonzalez-Calero, " Knowledge Intensive CBR through Ontologies," In Procs of the 6ht UK CBR Workshop. 2001.
[5] Wache, H., V ogele, T., Visser, U., Stuckenschmidt, H., Schuster, G., Neumann, H., and Hubner, S, "Ontology-based integration of information - a survey of existing approaches," In IJCAI-01 Workshop: Ontologies and Information Sharing, 2001, pp. 108--117.
[6] Junjie Gao, Guishi Deng. , "The research of applying domain ontology to case-based reasoning system," In Proceedings of International Conference on Services Systems and Services Management, Beijing, 2005, pp.1113 - 1117
[7] Man Li, Xiao-yong Du, "Learning ontology from relational database," Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-21 August 2005. pp.3410-3415
[8] I. Astrova, "Extracting Ontologies from Relational Databases," In Proceedings of the 22nd IASTED International Conference on Databases and Applications (DBA), 2004, pp. 56-61
[9] Habegger,B, "Mapping a database into an ontology: an interactive relational learning approach," In 2007 Proceedings of the 23rd International Conference on Data Engineering pp.1443-1447
[10] Zhuoming Xu, Shichao Zhang,Yisheng Dong, "Mapping between Relational Database Schema and OWL Ontology for Deep Annotation," In 2006 Proceedings of International Conference on Web Intelligence. pp. 548-552
[11] Ehrig, M., Staab, S, "QOM - quick ontology mapping," In The Semantic Web - ISWC 2004. LNCS 3298. Springer-Verlag, Berlin Heidelberg New York pp.683-696
[12] Ganter, B., Wille, R., Formal Concept Analysis: Mathematical Foundations, Springer-Verlag, New York (1999)
[13] Stumme, G., Taouil, R., Bastide, Y., Pasquier, N., Lakhal, L, "Fast computation of concept lattices using data mining techniques," In 2000 Proceedings of 7th International Workshop on Knowledge Representation Meets Databases. Berlin, Germany pp.129-139.
[14] http://soureforge.net/projects/conexp
[15] http://www.w3.org/TR/2008/WD-owl11-syntax-20080108/