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Based On Rdf Storage And Query Relational Databases

Posted on:2011-12-20Degree:MasterType:Thesis
Country:ChinaCandidate:Q YangFull Text:PDF
GTID:2208360308966618Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
With the development of semantic Web, worldwide attention has been profoundly obtained to the research boom of RDF (Resource Description Framework) that is the data for describing metadata and is used to describe Web resources. RDF schema, which provides the framework of classes and attributes that is specific to describe applications, is an extension of RDF. The storage and query of massive amount of RDF data from Internet, as the RDF application developed, demands for higher requirements. The draft of SPARQL query language provided by W3C organization is considered as the future development trend for semantic Web query language. The semi-structured characteristics of RDF is able to be perfectly combined with the semi-structured query methods, an optional mode, of SPARQL.This dissertation that is deeply engaged in the research of RDF and SPARQL has designed a package of solutions of utilizing Relation Database for storing and querying RDF data.In storage, the pattern of designing storage structure of combining RDF data with SPARQL query language is able to facilitate the matching for query language. Meanwhile, more efforts have been made to introduce RDF data reasoning control on RDF storage terminal for meeting the shortfall of query terminal because of the incapability of reasoning for SPARQL query language according to RDF schema metainformation and the incapability of denying or controlling th operations for users to acquire sensitive data by reasoning from non-sensitive data.In query, the SPARQL query language submitted by users is initially transformed to equivalent SQL language and subsequently delivered to Relation Database for query, finally the query results have been semantic-encapsulated and returned to the users.Own opinion as well as its argument has been proposed by detailed analyzing the structure of query map mode and aiming at the recent differences corresponding to the matching sequences of query map mode. Ultimately, Reverse Polish Notation has been introduced to transform complex SPARQL query language to SQL language.
Keywords/Search Tags:RDF, SPARQL, SQL, Inference Control, RPN
PDF Full Text Request
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