2015•International Journal of Hybrid Information TechnologyRequires access

Analysis of the Problem of Semantic Heterogeneity in the Integration of Railway System

Haiming Jing

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Abstract

Every information system has its own domain model for its environment and efficient task operation, which results in diverse heterogeneities, especially the semantic Heterogeneity. In this paper, order to adapt to the data request model of railway system, and semantic conflict type existing in the process of data integration, Ontology technology is employed in heterogeneous information integration, and a heterogeneous information framework is given. By finding semantic conflict initiative and constructing semantic mapping relations. In the case of SCADA data in railway system, Ontology mapping discovery algorithm is verified.

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What this paper is about

Every information system has its own domain model for its environment and efficient task operation, which results in diverse heterogeneities, especially the semantic Heterogeneity. In this paper, order to adapt to the data request model of railway system, and semantic conflict type existing in the process of data integration, Ontology technology is employed in heterogeneous information integration, and a heterogeneous information framework is given. By finding semantic conflict initiative and constructing semantic mapping relations. In the case of SCADA data in railway system, Ontology mapping discovery algorithm is verified.

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Available abstract

Every information system has its own domain model for its environment and efficient task operation, which results in diverse heterogeneities, especially the semantic Heterogeneity. In this paper, order to adapt to the data request model of railway system, and semantic conflict type existing in the process of data integration, Ontology technology is employed in heterogeneous information integration, and a heterogeneous information framework is given. By finding semantic conflict initiative and constructing semantic mapping relations. In the case of SCADA data in railway system, Ontology mapping discovery algorithm is verified.

Key concepts: Computer science, Semantic heterogeneity, Information retrieval, Semantic Web, Ontology-based data integration

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