Information Retrieval
Machine Learning
Meteor-s web service annotation framework
Proceedings of the 13th international conference on World Wide Web
Web Service Annotation Using Ontology Mapping
SOSE '05 Proceedings of the IEEE International Workshop
Component retrieval using conversational case-based reasoning
Intelligent information processing II
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Context recognition using internet as a knowledge base
Journal of Intelligent Information Systems
Revealing hidden relations among web services using business process knowledge
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
Hi-index | 0.00 |
This paper provides initial analysis in identifying possible Web services composition using context-based semantic matching. Context-based semantic matching allows service composition to be expanded beyond simple term matching and reduces erroneous compositions. A common method of context extraction is used to compare two types of service description, textual and WSDL. The approach is unique since it provides the Web service designer with an explicit numeric estimation of the extent to which a composition "makes sense." Motivation for the work is displayed with examples from Web services in the field of business.