Title :
SOSRA: Sewice-Oriented Semantic Representation Architecture
Author_Institution :
Wuhan Polytech. Univ., Wuhan
Abstract :
Constructing an effective translation between different representations is the key point to overcome semantic heterogeneity in information integration systems. This paper puts forward an ontology based information representation architecture-SOSRA. It introduces a GAV (global as view) approach to solve the mapping between heterogeneous semi-structured data in the form of service, discusses the semantic representation algorithm and semantic mapping strategy emphatically. The implementation of SOSRA and its application to semantic integration system is given at the end of this paper to enhance information process accuracy and efficiency.
Keywords :
Web services; XML; data structures; ontologies (artificial intelligence); software architecture; Web service; XML document; global as view approach; semantic heterogeneity; semantic information integration system; semantic mapping strategy; service-oriented ontology based semantic information representation architecture; Artificial intelligence; Computer architecture; Computer networks; Distributed computing; Information representation; Ontologies; Simple object access protocol; Software engineering; Web services; XML;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Print_ISBN :
978-0-7695-2909-7
DOI :
10.1109/SNPD.2007.205
