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Personalization Using Ontologies and Rules

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Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5149))

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Abstract

Adaptive hypermedia systems can alleviate information overload on the Web by personalising the delivery of resources to the user. These systems are however afflicted with difficulties in the acquisition of user data as well as the general lack of user control on and transparency of the systems’ adaptive behavior. In this paper, we argue that the use of rules on top of ontologies can enable adaptive functionality that is both transparent and controllable for users. To this end, we sketch ODAS, a domain ontology for adaptive hypermedia systems, and a model for the specification of adaptation rules.

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References

  1. Balabanovic, M., Shoham, Y.: Content-based, collaborative recommendation. Communications of the ACM 40(3), 66–72 (1997)

    Article  Google Scholar 

  2. Farance, F.: PAPI Specification Version 5 – Learning Technology: Public and Private Information. Specification (November 1999)

    Google Scholar 

  3. Hunter, J.: Adding multimedia to the semantic web - building an mpeg-7 ontology. In: Proceedings of the First Semantic Web Working Symposium, Stanford, CA, USA (2001)

    Google Scholar 

  4. Konstan, J., Miller, B., Maltz, D., Herlocker, J., Gordon, L., Riedl, J.: GroupLens: applying collaborative filtering to Usenet news. Communications of the ACM 40(3), 77–87 (1997)

    Article  Google Scholar 

  5. Lang, K.: NewsWeeder: learning to filter netnews. In: Proceedings of the 12th Int. Conf. on Machine Learning (ICML), Tahoe City, CA, USA, pp. 331–339 (1995)

    Google Scholar 

  6. Motik, B., Sattler, U., Studer, R.: Query Answering for OWL-DL with Rules. Journal of Web Semantics: Science, Services and Agents on the World Wide Web 3(1), 41–60 (2005)

    Article  Google Scholar 

  7. Neven, F., Duval, E.: Reusable learning objects: a survey of LOM-based repositories. In: Proc. of the 10th ACM International Conf. on Multimedia, Juan-les-Pins, France (2002)

    Google Scholar 

  8. Nielsen, J., Lyngbaek, U.: Two field studies of hypermedia usability. In: McAleese, R., Green, C. (eds.) Hypertext: State of the Art, pp. 64–72 (1989)

    Google Scholar 

  9. Terveen, L., Hill, W.: Beyond Recommender Systems: Helping People Help Each Other. In: Carroll, J. (ed.) HCI In The New Millenium. Addison-Wesley, Reading (2001)

    Google Scholar 

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Wolfgang Nejdl Judy Kay Pearl Pu Eelco Herder

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© 2008 Springer-Verlag Berlin Heidelberg

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Tran, T., Wang, H., Lamparter, S., Cimiano, P. (2008). Personalization Using Ontologies and Rules. In: Nejdl, W., Kay, J., Pu, P., Herder, E. (eds) Adaptive Hypermedia and Adaptive Web-Based Systems. AH 2008. Lecture Notes in Computer Science, vol 5149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70987-9_51

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  • DOI: https://doi.org/10.1007/978-3-540-70987-9_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70984-8

  • Online ISBN: 978-3-540-70987-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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