Temporal RDF Query Language And Its Transformation To TSQL2

Since the first proposal of the Semantic Web in the late 20 th century,the rapid development has laid a solid foundation for establishing a network framework for computers to understand network resources,which takes Resource Discription Framework(RDF)as its description model for web resource.With the explosive growth of web resource and information,there is an increasing demand for the processing of data with significant temporal information.Due to its own structural features,classical RDF model lacks the ability to represent and process temporal information.However,the research about temporal RDF is rarely seen.In order to manage the temporal information,the temporal RDF query language is inefficient to query RDF data stored in the temporal database when the temporal RDF information is stored in the temporal database with the appropriate transformation.TSQL2 is the standard query language for the temporal database.Therefore,it is of long-term significance to transform the temporal RDF query into the TSQL2 query to improve the query efficiency of the temporal RDF query.Based on the classic RDF model framework,here we analyze temporal attributes and methods to add temporal attributes,extend the RDF model to propose a temporal RDF model,analyze the syntax and semantics of the temporal RDF graph,and then extend the SPARQL query language so that it can query the temporal RDF resource.Based on the basic graph mode transformation,the paper proposes the methods of decomposing the group graph pattern,the optional graph pattern and the multi-graph pattern into the basic graph mode,and proposes the corresponding transformation methods for different query mode transformation respectively,and then designs of experiment systems Tem RDF for the proposed model and method.The system query the temporal RDF data stored in the relational database as experimental cases,analyzes and compares the results,and verifies the feasibility,correctness and effectiveness of the proposed model and method.The use of temporal RDF model to describe the Web resources that is closely related to temporal information such as: Complex Network System,Social Networks,which is advantageous and significant over others for data mining and prediction.