Research on Efficient SPARQL Query Processing for RDF Data

Semantic Web can add explicit semantics to data so that machines can not only simply display these data, but also the machines can understand, process and even integrate them. In recent years, with the comprehensive development of the Linking Open Data (LOD)project and the DBpedia project, Semantic Web data sources increase significantly and a large number of graph data in form of RDF data model are published. The Web is rapidly changing from the one containing Web pages and hyper-links only (called Document Web) to a Data Web with abundant entities and rich relationships between these entities. Based on these semantic data, lots of large search engine companies like Google are building knowledge graph to improve the quality of search, which indicates that we enter into the era of semantic search.

[1]  Ouyang Dang-tong Optimize SPARQL by Combining Semantic Reduction and Selectivity Estimation , 2010 .

[2]  Vasant Honavar,et al.  Clustering remote RDF data using SPARQL update queries , 2013, 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW).

[3]  Suresh Kumar,et al.  Querying RDF and OWL data source using SPARQL , 2013, 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT).

[4]  Lei Zou,et al.  gStore: a graph-based SPARQL query engine , 2014, The VLDB Journal.

[5]  Brian McBride,et al.  Jena: A Semantic Web Toolkit , 2002, IEEE Internet Comput..

[6]  B. Mihok,et al.  Augmenting Data Collection and Analysis of Operational Simulations with RDF and SPARQL , 2008, 2008 IEEE Aerospace Conference.

[7]  Andrej Chu,et al.  Distributed SPARQL Query Answering over RDF Data Streams , 2013, 2013 IEEE International Congress on Big Data.

[8]  Jean-François Baget,et al.  Extending SPARQL with regular expression patterns (for querying RDF) , 2009, J. Web Semant..

[9]  Gregory Tauer,et al.  Approximate SPARQL for error tolerant queries on the DBpedia knowledge base , 2013, Proceedings of the 16th International Conference on Information Fusion.

[10]  Volker Linnemann,et al.  A SPARQL Engine for Streaming RDF Data , 2007, 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System.

[11]  Edzard Höfig,et al.  Investigating the Relevance of Linked Open Data Sets with SPARQL Queries , 2013, 2013 IEEE 37th Annual Computer Software and Applications Conference Workshops.

[12]  刘畅,et al.  Towards Efficient SPARQL Query Processing on RDF Data , 2010 .

[13]  Xiaoyong Du,et al.  Efficient SPARQL Query Evaluation in a Database Cluster , 2013, 2013 IEEE International Congress on Big Data.