Design and Implementation of Oilfield Heterogeneous Data Integration Model Based on Ontology

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Abstract:

This paper provides an ontology-based distributed heterogeneous data integration framework (ODHDIF). The framework resolves the problem of semantic interoperability between heterogeneous data sources in semantic level. By metadatas specifying the distributed, heterogeneous data and by describing semantic information of data source , having "ontology" as a common semantic model, semantic match is established through ontology mapping between heterogeneous data sources and semantic difference institutions are shielded, so that semantic heterogeneity problem of the heterogeneous data sources can be effectively solved. It provides an effective technology measure for the interior information of enterprises to be shared in time accurately.

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Advanced Materials Research (Volumes 912-914)

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1201-1204

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April 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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Lou Yabin, Tao Fengmei, Ma Yuan. The Research of Heterogeneous Data Source Integration Method Based on Ontology. Control & Automation. 2005, 20: 119-121.

Google Scholar

[1] Mu Liping, Kuang Li, Prinz, Andreas. Maritime data integration using standard ISO 15926. 20th International Offshore and Polar Engineering Conference, ISOPE-2010. 2010, 06: 571-576.

Google Scholar

[2] LIU Wen-Tao, CHEN Zhi-Hong, XU Yan, LI Xing-Yi. Traffic Heterogeneous Data Integrating System Based on Ontology[J]. Computer Systems & Applications, 2010, 19(3): P75-79.

Google Scholar

[3] Zhao Guozeng, Ding Guoqiang. Research on Heterogeneous Data Sharing Based on Ontology. The 2nd International Conference on Computer Application and System Modeling (2012). ICCASM 2012, 07: 221-224.

DOI: 10.2991/iccasm.2012.55

Google Scholar

[4] Li Guanyu, Liu Haibin. Design of Ontology-based Distributed Information Integration Framework. The Seventh International Conference on Electronic Measurement and Instruments, ICEMI-2005. 2005, 08: 371-375.

Google Scholar

[5] Guanyu Li. Agent and Ontology based Semantic Data Integration Research[D]. Dalian University of Technology, (2010).

Google Scholar

[6] LI Xing-yi, GAO Wen-hao, SHI Hua-ji. Heterogeneous Databases Integration Approach Based on Ontology [J]. Computer Engineering and Design, 2009, 30(8),: 1931-(1934).

Google Scholar

[7] T.R. Gruber. Towards Principles for the Design of Ontology Used for Knowledge Sharing. Proceeding of the International Workshop on Formal Ontology. Padova, Italy, 2008: 50-66.

Google Scholar