Semantic Integration Framework Based on Domain Ontology Construction
In this paper, we proposed a semantic integration framework of heterogeneous data based on domain ontology construction. The mechanism of domain ontology construction and mapping for heterogeneous data are studied, the purposes of which are to enhance the
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Semantic Integration Framework Based on Domain Ontology Construction Jike Ge, Xianqiu Xu, Yongwen Huang and Mingying You
Abstract In this paper, we proposed a semantic integration framework of heterogeneous data based on domain ontology construction. The mechanism of domain ontology construction and mapping for heterogeneous data are studied, the purposes of which are to enhance the capability of dynamic adaptability and optimization of domain ontology construction, to resolve the problems of data heterogeneity in the processing of semantic information integration, and to promote the flexibility of the semantic integration process. Next, as to the semantic query, the theory and methods of specification or dynamic expansion of semantic query based on social annotation and ontology, and the duplicate removal and aggregating optimization of semantic query results are explored, the purpose of which is to realize the usability of semantic integration system and the credibility of the query results. Finally, an experimental prototype system of semantic integration of oil and gas exploration data based on domain ontology construction is constructed, the purpose of which is to verify the feasibility and correctness of the proposed theories and methods. Keywords Semantic integration
Ontology construction Domain ontology
J. Ge (&) X. Xu Y. Huang M. You School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China e-mail: [email protected]; [email protected] X. Xu e-mail: [email protected] Y. Huang e-mail: [email protected] M. You e-mail: [email protected]
Z. Zhong (ed.), Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012, Lecture Notes in Electrical Engineering 219, DOI: 10.1007/978-1-4471-4853-1_50, Ó Springer-Verlag London 2013
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50.1 Introduction Due to the wide applications of different information systems, a large amount of information and knowledge is accumulated. The information and knowledge is in different formats, e.g., electronic documents, databases, and hardcopy documents, scattered in various systems such as product lifecycle management (PLM), enterprise resource management (ERP), and office automation (OA) systems. Integrating different information sources semantically is a growing research area within different application domains. However, reaching semantic integration is not an easy task. While the real world is assumed to be unique, its representation depends on the intended purpose: every representation of reality is user-specific. Thus, different applications that share interest in the same real-word phenomena may have different perceptions and therefore require different representations. Differences may arise in all facets that make up a representation: what amount of information is kept, how it is described, how it is organized, how it is coded, what constraints, processes, and rules apply, how it is presented, etc., [1, 2]. Thus, the problem of data integration emerge
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