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Problem solving methods in a global networked age

  • John Domingue (a1) and Dieter Fensel (a2)

We believe that the future for problem solving method (PSM) derived work is very promising. In short, PSMs provide a solid foundation for creating a semantic layer supporting planetary-scale networks. Moreover, within a world-scale network where billions services are used and created by billions of parties in ad hoc dynamic fashion we believe that PSM-based mechanisms provide the only viable approach to dealing the sheer scale systematically. Our current experiments in this area are based upon a generic ontology for describing Web services derived from earlier work on PSMs. We outline how platforms based on our ontology can support large-scale networked interactivity in three main areas. Within a large European project we are able to map business level process descriptions to semantic Web service descriptions, to enable business experts to manage and use enterprise processes running in corporate information technology systems. Although highly successful, Web service-based applications predominately run behind corporate firewalls and are far less pervasive on the general Web. Within a second large European project we are extending our semantic service work using the principles underlying the Web and Web 2.0 to transform the Web from a Web of data to one where services are managed and used at large scale. Significant initiatives are now underway in North America, Asia, and Europe to design a new Internet using a “clean-slate” approach to fulfill the demands created by new modes of use and the additional 3 billion users linked to mobile phones. Our investigations within the European-based Future Internet program indicate that a significant opportunity exists for our PSM-derived work to address the key challenges currently identified: scalability, trust, interoperability, pervasive usability, and mobility. We outline one PSM-derived approach as an exemplar.

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B. Chandrasekaran (1986). Generic tasks in knowledge based reasoning: high-level building blocks for expert systems design. IEEE Expert 1(3), 2330.

W.J. Clancey (1983). The epistemology of a rule based expert system—a framework for explanation. Artificial Intelligence 20, 215251.

W.J. Clancey (1985). Heuristic classification. Artificial Intelligence 27, 289350.

M. Crubézy , M.A. Musen , E. Motta , & W. Lu (2003). Configuring online problem-solving resources with the Internet reasoning service. IEEE Intelligent Systems 18(2), 3442.

T. Darr , M. Klein , & D.L. McGuiness (1998). Special Issue: configuration design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 12, 293294.

J. de Kleer , & J.S. Brown (1984). A qualitative physics based on confluences. Artificial Intelligence 24, 783.

J. Domingue , L. Cabral , S. Galizia , V. Tanasescu , A. Gugliotta , B. Norton , & C. Pedrinaci (2008). IRS-III: a broker based approach to Semantic Web services. Journal of Web Semantics 6(2), 109132.

D. Fensel , C. Bussler , Y. Ding , & B. Omelayenko (2002). The Web services modeling framework WSMF. Electronic Commerce Research and Applications 1(2).

D. Fensel , & E. Motta (2001). Structured development of problem solving methods. IEEE Transactions on Knowledge and Data Engineering 13(6), 913932.

J. McDermott (1988). Preliminary steps toward a taxonomy of problem-solving methods. In Automating Knowledge Acquisition for Experts Systems ( S. Marcus , Ed.). Boston: Kluwer Academic.

E. Motta , K. O'Hara , N. Shadbolt , A. Stutt , & Z. Zdrahal (1996). Solving VT in VITAL: a study in model construction and knowledge reuse. International Journal of Human–Computer Studies 44, 333371.

A. Newell (1982). The knowledge level. Artificial Intelligence 18, 87127.

N. Shadbolt , E. Motta , & A. Rouge (1993). Constructing knowledge based systems. IEEE Software 10(6), 3438.

V. Tanasescu , A. Gugliotta , J. Domingue , L. Gutiérrez Villarías , R. Davies , M. Rowlatt , M. Richardson , & S. Stincic (2007). Geospatial data integration with Semantic Web services: the emerges approach. In The Geospatial Web ( A. Scharl , & K. Tochtermann , Eds.). New York: Springer.

G. Wiederhold (1992). Mediators in the architecture of future information systems. IEEE Computer 25(3), 3849.

B.J. Wielinga , A.Th. Schreiber , & J.A. Breuker (1992). KADS: a modelling approach to knowledge engineering. Knowledge Acquisition 4(1), 553.

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  • ISSN: 0890-0604
  • EISSN: 1469-1760
  • URL: /core/journals/ai-edam
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