Title :
Semantic Web Services Annotation and Composition Based on ER Model
Author :
ChengZhi Xu ; Peng Liang ; Taehyung Wang ; Qi Wang ; Sheu, P.C.-Y.
Author_Institution :
State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China
Abstract :
Ontology makes traditional web service to be semantic web services, where semantic annotation can be employed to discover, reason and composite web services semantically. The construction of ontology is a key factor to implement semantic web service applications. Traditionally, ontology is constructed and maintained by domain experts with considerable effort, which is difficult to proceed in an engineering way and to reuse existing domain knowledge. In this paper, we propose to use the ER model, which is widely employed in database management, to construct domain ontology and semantic web services efficiently and effectively.
Keywords :
Web services; ontologies (artificial intelligence); semantic Web; ER model; Web service composition; database management; entity-relationship model; ontology; semantic Web services annotation; Artificial intelligence; Computer networks; Erbium; Knowledge representation; OWL; Ontologies; Pervasive computing; Semantic Web; USA Councils; Web services; ER model; ontology; semantic web services; web service composition;
Conference_Titel :
Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC), 2010 IEEE International Conference on
Conference_Location :
Newport Beach, CA
Print_ISBN :
978-1-4244-7087-7
DOI :
10.1109/SUTC.2010.73