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An Intelligent Recommender System for Web Resource Discovery and Selection

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Intelligent Decision and Policy Making Support Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 117))

The Web is now evolving from information sharing to resource provisioning as the emerging Web services and Grid technologies are widely accepted and practiced. Soon the Web will be populated with abundant resources that can be accessed, shared and reused, which will inevitably lead to resource overflow. This chapter introduces a semantic-enabled, knowledge-based intelligent recommender system for Web resource discovery, selection and effective use. The system is based on a novel hybrid approach, which draws on the functionality of Semantic Web Services to represent, expose and discover available resources, and exploits domain knowledge to guide resource selection and use. We propose an integrated system architecture and describe the underpinning semantic- and knowledge-based recommending mechanisms. A number of technologies and tools are developed, and further applied to a real world application – the UK e-Science GEODISE project, to demonstrate the system’s applicability and benefits.

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References

  1. Foster I, Kesselman C (2004) The Grid: Blueprint for a New Computing Infrastructure. 2nd Edition, Morgan Kaufmann, ISBN:1-55860-933-4

    Google Scholar 

  2. Foster I, Kesselman C, Nick J, Tuecke S (2002) Grid services for distributed system integration, Computer, 35(6):37–46

    Article  Google Scholar 

  3. Hey T, Trefethen AE (2003) The data deluge: an e-science perspective. Berman, F. et al. (ed.) Grid Computing: Making the Global Infrastructure a Reality, ISBN: 0470853190, 809–824

    Google Scholar 

  4. Pazzani M, Muramatsu J, Billsus D (1996) Syskill & Webert: Indentifying interesting Web sites, In Proceedings of the 13th National Conference on Artificial Intelligence, pp. 54–61

    Google Scholar 

  5. Resnick P, Iacovou N, Suchak M, Bergstorm P, Riedl J (1994) Grouplens: An open architecture for collaborative filtering of netnews. In Proceedings of ACM 1994 Conference on Computer Supported Cooperative Work, pp. 175–186

    Google Scholar 

  6. Adomavicius G, Sankaranarayanan R, Sen S, Tuzhilin A (2005) Incorporating contextual information in recommender systems using a multidimensional approach, J-TOIS, 23(1):103–145

    Article  Google Scholar 

  7. Wei YZ, Moreau L, Jennings NR (2005) ACM Transactions on Information Systems, 23(3):227–266

    Article  Google Scholar 

  8. Berners-Lee T, Hendler J, Lassila O (2001) The Semantic Web, Scientific American, 284(5):34–43

    Article  Google Scholar 

  9. Burstein MH, Bussler C, Zaremba M, Finin TW, Huhns MN, Paolucci M, Sheth AP, Williams SK (2005) A Semantic Web Services Architecture. IEEE Internet Computing, 9(5):72–81

    Article  Google Scholar 

  10. Sirin E, Parsia B, Hendler J (2004) Filtering and selecting semantic Web Services with interactive composition techniques, IEEE Intelligent Systems, 19(4):42–49

    Article  Google Scholar 

  11. Srinivasan N, Paolucci M, Sycara KP (2006) Semantic Web Service Discovery in the OWL-S IDE. HICSS

    Google Scholar 

  12. Medjahed B, Bouguettaya A, Elmagarmid AK (2003) Composing Web services on the Semantic Web, Journal of VLDB, 12(4):333–351

    Article  Google Scholar 

  13. Chen L, Shadbolt NR, Goble C, Tao F, Puleston C, Cox SJ (2005) Semantics-assisted Problem Solving on the Semantic Grid. Journal of Computational Intelligence, 21(2):157–176

    Article  MathSciNet  Google Scholar 

  14. Manikrao US, Prabhakar TV (2005) Dynamic Selection of Web Services with Recommendation System, In Proceedings of the International Conference on Next Generation Web Services Practices, pp. 117–122

    Google Scholar 

  15. Aktas MS, Pierce M, Fox GC, Leake D (2004) A web based conversational case-based recommender system for ontology aided metadata discovery, In Proceedings of the Fifth IEEE/ACM International Workshop on Grid Computing, pp. 69–75

    Google Scholar 

  16. Tao F, Chen L, Shadbolt NR, Pound G, Cox SJ (2003) Towards the Semantic Grid: Putting knowledge to work in design optimisation, Journal of Universal Computer Science (J.UCS), 9(6):551–563

    Google Scholar 

  17. Horrocks I, Li L, Turi D, Bechhofer S (2004) The instance store: DL reasoning with large numbers of individuals, Proceedings of the 2004 Description Logic Workshop, BC, Canada, pp. 31–40

    Google Scholar 

  18. Broekstra J, Kampman A, van Harmelen F (2002) Sesame: a generic architecture for storing and querying RDF and RDF Schema, In Proceedings of the International Semantic Web Conference 2002, Sardinia, Italy, pp. 54–68

    Google Scholar 

  19. Harris S, Gibbins N (2003) 3store: Efficient Bulk RDF Storage. Proceedings of First International Workshop on Practical and Scalable Semantic Systems, Florida, USA, pp. 1–15

    Google Scholar 

  20. Haarslev V, Möller R (2003) Racer: a core inference engine for the semantic Web, In Proceedings of the Second International Workshop on Evaluation of Ontology-based Tools (EON2003), Florida, USA, pp. 27–36

    Google Scholar 

  21. Clancey WJ (1997) Situated Cognition: on Human Knowledge and Computer Representations. Cambridge University Press, Cambridge

    Google Scholar 

  22. Advanced Knowledge Technologies (AKT) project: http://www.aktors.org/

  23. Cannataro M. Talia D (2003) The Knowledge Grid, Communications of the ACM, 46(10):89–93

    Article  Google Scholar 

  24. Zhuge H (2004) The Knowledge Grid. World Scientific Publishing Co., ISBN 981-256-140-4

    Google Scholar 

  25. Buchanan BG, Smith RG (2002) Fundamentals of expert systems, The Handbook of Artificial Intelligence, 4:149–192

    Google Scholar 

  26. Chen L, Cox SJ, Goble C, Keane AJ, Roberts A, Shadbolt NR, Smart P, Tao F (2002) Engineering knowledge for engineering grid applications. In Proceedings of Euroweb 2002 Conference, The Web and the GRID: from e-science to e-business, pp. 12–25

    Google Scholar 

  27. Chen L, Shadbolt NR, Goble C, Tao F (2006) Managing semantic metadata for web/grid services, International Journal of Web Service Research, 3(4):73–94

    MATH  Google Scholar 

  28. Eres MH, Pound GE, Jiao Z, Wason JL, Xu F, Keane AJ, Cox SJ (2005) Implementation and utilisation of a Grid-enabled problem solving environment in Matlab, Future Generation Computer Systems, 21(6):920–929

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. School of Computing and Mathematics, University of Ulster, UK

    Liming Chen

  2. School of Electronics and Computer Science, University of Southampton, UK

    Feng Tao

Authors
  1. Liming Chen
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  2. Feng Tao
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Editor information

Editors and Affiliations

  1. Belgian Nuclear Research Centre (SCK●CEN), Boeretang 200, 2400, Mol, Belgium

    Da Ruan , Frank Hardeman  & Klaas van der Meer ,  & 

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Chen, L., Tao, F. (2008). An Intelligent Recommender System for Web Resource Discovery and Selection. In: Da Ruan, Hardeman, F., van der Meer, K. (eds) Intelligent Decision and Policy Making Support Systems. Studies in Computational Intelligence, vol 117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78308-4_7

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  • DOI: https://doi.org/10.1007/978-3-540-78308-4_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78306-0

  • Online ISBN: 978-3-540-78308-4

  • eBook Packages: EngineeringEngineering (R0)

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