An approach for semantic web services automatic discovery and composition with similarity metrics

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2009, Pages 694-695

  Calado, Ivo ^a   Barros, Heitor ^b   Bittencourt, Ig Ibert ^a  

^a FEDERAL UNIVERSITY OF CAMPINA GRANDE   (Brazil)

^b FEDERAL UNIVERSITY OF ALAGOAS   (Brazil)

Author keywords

Composition; Discovery; Semantic web services

Indexed keywords

ADAPTIVE SERVICES; AUTOMATIC DISCOVERY; COMPOSITION; HARD TASK; SERVICE PROVIDER; SIMILARITY METRICS;

COMPUTER SCIENCE; IMAGE RETRIEVAL; SEMANTIC WEB; SEMANTICS;

WEB SERVICES;

EID: 72949120797     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1529282.1529427     Document Type: Conference Paper

References (2)

1. R. D. Giv, B. Kalali, S. Zhang, N. Zhong, and A. Lopez-Ortiz. Algorithms for direct and indirect semantic matching of web services. Technical report, University of Waterloo, 2004.
2. J. Ma, Y. Zhang, and J. He. Efficiently finding web services using a clustering semantic approach. In CSSSIA, page 5, 2008.