A framework to improve semantic web services discovery and integration in an e-gov knowledge network

Sell, Denilson; Cabral, Liliana; Gonçalves, Alexandre; Motta, Enrico and Pacheco, Roberto (2004). A framework to improve semantic web services discovery and integration in an e-gov knowledge network. In: Motta, Enrico; Shadbolt, Nigel; Stutt, Arthur and Gibbins, Nick eds. Engineering Knowledge in the Age of the SemanticWeb. Lecture Notes in Computer Science, 3257. Berlin: Springer, pp. 509–510.

DOI: https://doi.org/10.1007/978-3-540-30202-5_49

Abstract

One of the major challenges in Semantic Web Service (SWS) technology is the improvement of the services matching process. This challenge is a critical issue to promote systems interoperability in the context of Scienti Network (SN), an international knowledge network in Science & Technology (S&T) [1]. We have been working on a framework to tackle this problem in the context of IRS-II SWS infrastructure. This framework (SeGOV), comprehends a set of ontologies to describe services in functional layers in order to allow their matching and improve their capabilities.

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• Item ORO ID
• 19252
• Item Type
• Book Section
• ISBN
• 3-540-23340-7, 978-3-540-23340-4
• ISSN
• 0302-9743
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2004 Springer
• Depositing User
• Colin Smith