Title :
Semantic Service Alignment Using Concept Description Refinement
Author :
Letia, Ioan Alfred ; Pop, Octavian
Author_Institution :
Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
Abstract :
Due to the heterogeneity of the semantic web, the integration of client applications and services using slightly different ontologies is a major challenge, shown by the significant research effort directed towards aligning ontologies and identifying matching concepts. A novel method for service selection by matching a query with services, represented by input and output parameters and a description, is presented. The query matching relies on a concept translation and mapping using bridge rules and by replacing a concept by an equivalent representation, a bag of concepts. By translating a concept description between ontologies we obtain the equivalent representation of the same concept using terms from the other ontology, used later to determine the mapped concept or verify existing mappings.
Keywords :
Web services; ontologies (artificial intelligence); query processing; semantic Web; client application; concept description refinement; concept mapping; concept translation; ontology; query matching; semantic Web service; semantic service alignment; service selection; Bridges; Complexity theory; Lattices; Ontologies; Semantic Web; Semantics; Web services; Ontology matching; Query matching; Software service;
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2010 12th International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4244-9816-1
DOI :
10.1109/SYNASC.2010.29