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Research on Heterogeneous Data Interoperability of Ontology-based Dynamic Alliance Enterprise

Author: HanSongTao
Tutor: GeJiangHua
School: Harbin University of Science and Technology
Course: Computer Software and Theory
Keywords: Heterogeneous data Interoperability Ontology mapping Similarity
CLC: TP311.52
Type: Master's thesis
Year: 2009
Downloads: 67
Quote: 0
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Abstract


With the emergence and development of the Internet, data exchange and sharing in the alliance between enterprises has become possible. With the development of society, people on data sharing, higher demands, hoping to eliminate conflicts between heterogeneous data and abnormal data interoperability. Heterogeneous data interoperability important and difficult to solve semantic heterogeneous. The body expressly to certain areas of the relationship between the concept and the concept of use of this feature, ontology-based data interoperability can be a good solution to this problem. Ontology-based heterogeneous data interoperability, the first is to build on the body. Further application and study the effect of a direct impact on the body to build the level of quality. Body mostly edited by experts in the field of hand-made complex exists engineering build slow and disadvantages. This paper focuses on the relationship between data ontology construction method to conduct in-depth research, the establishment of a series of rules Get ontology construction elements and the body to build a framework for relational data based on the above rules. The framework first relational schema from relational data, and then use the body to build rules to extract the basic elements of the ontology construction to build a local body, and finally through the Jena API. Ontology mapping is a crucial step in the process interoperability, inevitably there will be more than one application ontology semantic conflicts, how to solve this semantic heterogeneity between different heterogeneous data domain ontology provides a unified semantic The access layer, which need to study a mapping method in the different between the data body. We build a multi-strategy ontology mapping framework. Many existing mapping method is not considered in the calculation of concept similarity concept attribute relationship concept name similarity so in mapping framework proposed in this paper, the concept of a collection of properties similarity, similarity, such as a collection of related concepts determine body mapping relationship; the semantic radius to improve the flexibility of the method of mapping. Finally, Computer Integrated Manufacturing Institute two heterogeneous PDM systems (SmarTeam and KM PDM), for example, the establishment of the interoperability framework and build the body of experiments using the proposed method, described their mapping process and calculated analysis of mapping results show that the mapping can improve the precision rate and the recall rate, in addition to adding semantic radius calculated to increase the concept of property calculations also help to improve precision and recall. Laid the foundation for further the Union enterprise data sharing and reuse, speed up the process of product development.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Software Engineering > Software Development
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