Infrastructure for web services that perform automated reasoning

Part of book or chapter of book English OPEN
Araghi, Amir (2006)
  • Publisher: University of Huddersfield
  • Subject: QA75 | QA76 | T1

Despite much research into Artificial Intelligence (AI) and Intelligent Agents (IA) over the past few\ud years little 'intelligent' behaviour is displayed by modern computer systems. AI planning and intelligent\ud systems are failing to be generally used. The intellectual abilities such as learning, analysing, problem\ud solving, planning and abstracting are features that we do not entirely associate with today’s computer\ud systems.\ud \ud \ud In AI we recognise that although machines are beginning to overtake the human brain in terms of\ud sheer processing power and perhaps storage capacity, they still cannot approach the level of human\ud intelligence in terms of general purpose cognitive capability. Part of the reason for this is that software\ud technology that supports general intelligent processes is difficult to use, understand and maintain.\ud \ud \ud With the advent of the Internet, the Web as we know it is an enormous collection of information stored\ud in a variety of formats and held loosely together by hyperlinks. This is adequate for humans who are\ud able to understand natural languages, but it is of no use if we want machines to be able to process as\ud well as understand the information. To deal with this issue, the next Web generation promise to deliver\ud Semantic Web Services; services that are self-described and amenable to automated discovery,\ud composition and choreography. They can be utilised by application or other services without human\ud assistant or protocols; where information is encoded according to well defined vocabularies, often\ud known as Ontologies. In this research, we aim to create the infrastructure to enable intelligent software\ud to be recast as semantic web services, and lead the way to “Service Oriented Intelligence” –\ud distributed software intelligence using the Internet.
  • References (23)
    23 references, page 1 of 3

    [1] [W3C] The World Wide Web Consortium. Semantic Web. <>. Accessed 2006 Oct 16.

    [2] [W3C] The World Wide Web Consortium. OWL (Web Ontology Language). <>. Accessed 2006 Oct 16.

    [3] [W3C] The World Wide Web Consortium. RDF (Resource Description Framework), <>. Accessed 2006 Oct 16.

    [4] [WSMF] Web Services Modeling Framework. D. Fensel and C. Bussler, “The Web Service Modelling Framework WSMF”, Vrije University Amsterdam (VU) Faculty of Sciences, Division of Mathematics and Computer Science, 2002.

    [5] [ASWSA] Mark Burstein, BBN Technologies, Christoph Bussler and Michal Zaremba, Digital Enterprise Research Institute, Tim Finin, University of Maryland, Baltimore County, Michael N.Huhns, University of South Carolina, Massimo Paolucci, DoCoMo Communications Laboratories Europe GmbH, Amit P. Sheth, University of Georgia, Stuart Williams, HewlettPackard Laboratories, “A Semantic Web Services Architecture”, IEEE Computer Society, 2005.

    [6] L. Zeng, B. Benatallah, M. Dumas, J. Kalagnanam, and Q. Z. Sheng. “Quality Driven Web Services Composition.” In Proceedings of the 12th Intl. World Wide Web Conf., May 2003.

    [7] B. Srivastava and J. Koehler. “Web Service Composition - Current Solutions and Open Problems.” ICAPS 2003 Workshop on Planning for Web Services, 2003.

    [8] X. Su and J. Rao. “A Survey of Automated Web Service Composition Methods.” In Proceedings of First International Workshop on Semantic Web Services and Web Process Composition, July 2004.

    [9] S. McIlraith, T. C. Son, and H. Zeng. “Semantic Web Services.” IEEE Intelligent Systems, Special Issue on the Semantic Web. 16(2):46{53, March/April 2001.

    [10] [DAML] OWL-Service. OWL-S 1.0. <>. Accessed 2006 Oct 16.

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