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Research on Key Technologies in Ontology-based Data Integration
Author: JiaZuo
Tutor: GuoShaoZhong
School: PLA Information Engineering University
Course: Applied Computer Technology
Keywords: Body Data Integration Heterogeneous Data OWL Mapping rules Decomposition
CLC: TP311.13
Type: Master's thesis
Year: 2009
Downloads: 56
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Abstract
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Due to the presence of rich database products , data patterns autonomy and diversity of data semantics and other reasons , making the data between heterogeneous phenomenon increasingly prominent. How to complete extraction , a comprehensive analysis of the underlying heterogeneous data and effectively to meet the needs of different users access to data and sharing requirements , critical issues facing today's data integration . In this paper , on the basis of existing data integration technology , the use of the body shielded from the semantic level data heterogeneity , given a set of schema information to OWL ontology mapping rules , the development of ontology-based query processing scheme , designed by the body to build and query processing and other components of data integration prototype system and tested . The main work of this paper are: ontology construction , the use of mode information table lists the hierarchical structure features , to seize the primary key , foreign key and critical information to design a model to OWL ontology mapping rules , the mode information toanalytical basis ; in the query decomposition , according to the characteristics of the area of the body , the use of connection characteristics of the central concept , design and implementation of the query decomposition algorithm based on the central concept in the global query is decomposed into sub-queries list at the same time , simplifying the result of reorganization consolidation method . Finally, the structures and data integration platform , with examples to test the prototype of the system , by comparing the recall and precision rates , indicates that the system can realize the integration of heterogeneous data access .
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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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