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Research On Building Mapping In Semantic Correctness Oriented Integrated Data Access

Posted on:2013-04-26Degree:MasterType:Thesis
Country:ChinaCandidate:Q ZhangFull Text:PDF
GTID:2298330422474318Subject:Management Science and Engineering
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With the rapid social progress and economic growth, the large amount of data to bestored in a variety of heterogeneous database and how the data integration and access isthe focus of attention. The ontology can better solution database semantic heterogeneitybetween relational database integration is an important method for relational databaseaccess. Among them, build relationships database to ontology semantic mapping is animportant part of integrated data semantically correct access.Ontology as a conceptual model in the field of information integration increasinglyshowing its important role. Ontology concept definition and properties described in thefield of things to have the a better expression data semantics ability, the ontologydefined constraints and logic rules allows the user ontology reasoning. Therefore, acertain extent, the ontology become a connection relationship between the real worldand the logical storage ties, and better able to work together so that people andcomputers.This paper first analyzes where the ontology of integrated data access, and therelationship between the database and ontology mapping research status and difficult,and discussed the important role of semantic mapping guarantee integrate datasemantically correct access. This article uses the integrated data access methods forsemantic correctness, semantically correct data can be integrated relational databaseaccess in the case of both ontology skills and reasoning complexity.Traditional semantic mapping application background and different solutions, builtvariety. One difficulty is how to explore the semantics of the data in the database.Database model to the relational database, research and analysis, formal description ofsemantics inherent in the relational database model with first-order logic formulas,analysis and description of semantics of the six relational database schema. Semanticdescription of the relational database schema, combined with integrated data accessmethod framework for semantic correctness build semantic mapping between relationaldatabase and ontology design improvements based entity trees and concepts connectiondiagram LAV semantic mapping structure semantic mapping constructor method and对象GAV based on virtual objects.Finally, we designed semantic mapping management tools to verify this mappingconstructor method is feasible and effective, and we also compare and evaluate thismethod with the existing mapping constructor in algorithm performance and saving rate.
Keywords/Search Tags:Database Integration, Ontology, Data Semantics, Semantic Mapping
PDF Full Text Request
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