Research on Efficient SPARQL Query Processing for RDF Data

Abstract

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.

Introducing Two Level Verification Model for Reduction of Uncertainty of Message Exchange in Inter Agent Communication in Organizational-Multi-Agent Systems Engineering, O-MaSE

“…The traditional query languages used with KQML cannot suffice for the semantic web. Other promising query languages like Prolog and SPARQL [8] are made for the purpose of Semantic inter agent communication where the messages between agents have a meaning understood by the machines. The benefits of the Semantic Web are outside the scope of this work.…”