Research on the Integration Method for Heterogeneous Database Based on Ontology

Abstract:

With the establishment of more and more management information systems in the enterprises, many heterogeneous databases have been produced, resulting in the phenomenon of the information island. This paper puts forward a method based on ontology to integrate the heterogeneous databases and presents the framework of the integration method. In this framework A method based on relational database is presented to build the mixed ontology structure Common VocabularyLocal Ontology. The mixed ontology structure is used to establish the semantic web for enterprises. This novel approach exploits the multithreading combined with semantic web to implement parallel retrieval on an integrated platform. The application that this prototype system of the integration method has been implemented in a research institute verifies the method could effectively analyze the user's intention, thereby improving the reuse of knowledge.

• Periodical: Advanced Materials Research (Volume 933)
• Pages: 675-681
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.933.675
• Online since: May 2014
• Authors: Zhe Ying Xu*, Yan Yan, Guo Xin Wang, Lin Gong
• Keywords: Heterogeneous Database, Multithreading, Ontology, Semantic Match

References

[1] ZHANG Jun-Yan, LUO Jun, et al. Research on semantic heterogeneous data integration method based on ontology [J]. Information Technology, 2010(8): 112-120.

[2] Qi Yu. Ontology-Based Schema Integration of Heterogeneous Data Sources[D]: Dalian University of Technology, (2008).

[3] ZHAO Han, ZHANG Shu-sheng, et al. Research on semantic model construction method oriented to heterogeneous database integration [J]. Computer Integrated Manufacturing System, 2006(12): 370-376.

[4] ZHAN CU , IPAULOB'R IEN. Domain Ontology Management Environment [A]. In the Proceedings of the 33rd Hawaii International Conference on System Sciences[C], (2000).

[5] NOZICK L K, TURNQUIST M A. Integrating inventory impacts into a fixed charge model for locating distribution centers [J]. Transportation Research Part E, 1998, 34(3): 173 -186.

DOI: 10.1016/s1366-5545(98)00010-6

[6] TEO C H, OU J, GOH M. Impact on inventory costs with consolidation of distribution centers[J]. IIE Transaction, 2001, 33(2): 99 -110.

DOI: 10.1080/07408170108936811

[7] YANG Wu-jian, LI Jun-Yan. Research and implementation for cross database retrieval system [J]. Modern Information, 2005(11): 158-161.

[8] BRANDT S C, MORBACH J, MICH ALISM, et al. A ontology based approach to knowledge management in design processes [J]. Computers & Chemical Engineering, 2008. 32(1/2): 320-342.

DOI: 10.1016/j.compchemeng.2007.04.013

[9] YU Xu, LIU Ji-hong, HE Miao. Design knowledge retrieval technology based on domain ontology for complex products [J]. Computer Integrated Manufacturing System, 2011(2): 225-231.

[10] SHI Zhong-zhi, WANG Wen-jie. Artificial Intelligence [M]. Beijing: National Defence Industry Press, 2007. 314-319.

[11] BAI Hai-yan, Liang Bing. Semantic pattern mapping between RDBMS and linked data based on open source software[J].  New Technology of Library and Information Service. 2011(7/8): 1-7.