A self-learning framework for services selection. (2nd December 2009)

• Record Type: Journal Article
• Authors: Wang, H.; Wang, Y.; Huang, J.Z.; Xu, X.
• Is Part Of: International journal of information technology and management. Volume 9:Number 1(2010)
• Page Start: 90
• Page End: 110
• Publication Date: 2009-12-02
• Subjects: web services composition -- machine learning -- semantic web -- fuzzy logic -- SOA -- service-oriented architecture -- information technology -- SLF4SS -- self-learning framework for services selection; Management information systems -- Periodicals; Information technology -- Periodicals; Management -- Data processing -- Periodicals; 658.403805
• Languages: English
• ISSNs: 1461-4111

Abstract

Service-Oriented Architecture (SOA) is emerging as a new paradigm for integration of heterogeneous application systems within an enterprise and between enterprises. Web services are widely considered as enabling technologies for implementing application services under SOA. Web services composition is a flexible means to build various application services. In web services composition, one primary task is to discover and select proper services according to user requests and preferences. In this paper, we present SLF4SS, a self-learning framework for services selection.