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A User Behavior-Based Agent for Improving Web Usage

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On the Move to Meaningful Internet Systems 2002: CoopIS, DOA, and ODBASE (OTM 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2519))

Abstract

Designing applications for supporting the user activity on accessing Web information sources is one of the most appealing challenges for researchers in the area of Artificial Intelligence. The agent paradigm represents a natural way of facing this problem,mainly because of the autonomy and reactivity properties which these applications should have. In this paper we design an agent capable of both creating and managing a personal ontology as well as of exploiting it for discovering navigation paths potentially interesting for the user. The agent, during the navigation of a site, provides the user with a set of recommendations and,at the same time, learns her/his preferences by updating the ontology. The power of the approach is based on the capability of the ontology model (called concept-graph) of representing user-behavior dependent relationships among concepts and, importantly,dealing with structural and semantic heterogeneity of Web sources.

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References

  1. M. Balabanovic, Y. Shoham. Fab: Content-based,collab orative recommendation. Communications of the ACM, 40(3), 4(3), 1997.

    Google Scholar 

  2. C. Batini, M. Lenzerini. A methodology for data schema integration in the entity relationship model. IEEE Trans. on Software Eng.,10(6):650–664, 1984.

    Article  Google Scholar 

  3. S. Bergamaschi, S. Castano, M. Vincini, D. Beneventano. Semantic integration and query of heterogeneous information sources. Data & Knowledge Eng.,36(3):215–249, 2001.

    Article  MATH  Google Scholar 

  4. S. Bergamaschi, G. Cabri, F. Guerra, L. Leonardi, M. Vincini,and F. Zambonelli. Supporting information integration with autonomous agents. In International Workshop on Cooperative Information Agents (CIA’01),pages 88–99, Mo dena, Italy, 2001. Lecture Notes in Artificial Intelligence.

    Google Scholar 

  5. P. Buneman, S. Davidson, M. Fernandez, and D. Suciu. Adding structure to unstructured data. In Proc. of International Conference on Database Theory (ICDT’97),pages 336–350, Delphi, Greece, 1997. Lecture Notes in Computer Science, Springer-Verlag.

    Google Scholar 

  6. F. Buccafurri, G. Lax, D. Rosaci, D. Ursino. The c-graph model. DIMET Techn. Report 2002,available from the authors.

    Google Scholar 

  7. A. G. Buchner and M. D. Mulvenna. Discovering internet marketing intelligence through online analytical web usage mining. SIGMOD Record, 27(4):54–61, 1998.

    Article  Google Scholar 

  8. D. Calvanese, G. De Giacomo, M. Lenzerini, D. Nardi, R. Rosati. Description logic framework for information integration. In Proc. of International Conference on Principles of Knowledge Representation and Reasoning (KR’98), pages 2–13, Trento, Italy, 1998. Morgan Kaufman.

    Google Scholar 

  9. S. Castano, V. De Antonellis,and S. De Capitani di Vimercati. Global viewing of heterogeneous data sources. Transactions on Data and Knowledge Engineering, 13(2), 2001.

    Google Scholar 

  10. A. Doan, P. Domingos, and A. Halevy. Reconciling schemas of disparate data sources: A machine-learning approach. In Proc. of International Conference on Management of Data (SIGMOD 2001), Santa Barbara, California, USA, 2001. ACM Press.

    Google Scholar 

  11. C. Ghidini, L. Serafini. Information integration for electronic commerce. In Proc. of International Workshop on Agent Mediated Electronic Trading 1998 (AMET’98), pages 189–206, Minneap olis, USA, 1998. Lecture Notes in Artificial Intelligence, Springer Verlag.

    Google Scholar 

  12. R. Goldman, J. McHugh, J. Widom. From semistructured data to XML: Migrating the lore data model and query languages. In Proc. of International Workshop on the Web and Databases (WebDB’99),pages 25–30, Philadelphia, USA, 1999.

    Google Scholar 

  13. T. Joachims, D. Freitag, T. M. Mitchell. Web watcher: A tour guide for the world wide web. In Proc. of International Joint Conference on Artificial Intelligence (IJCAI 97),pages Vol. 1, 770–777, Montreal, Canada, 1997. Morgan Kaufmann.

    Google Scholar 

  14. R. J. Bayardo Jr., B. Bohrer, R. S. Brice, A. Cichocki, J. Fowler, A. Helal, V. Kashyap, T. Ksiezyk, G. Martin, M. H. Nodine, M. Rashid, M. Rusinkiewicz, R. Shea, C. Unnikrishnan, A. Unruh, D. Woelk. Infosleuth: Semantic integration of information in open and dynamic environments. In Proc. of International Conference on Management of Data (SIGMOD’97), 195–206, Tucson, USA, 1997. ACM Press.

    Google Scholar 

  15. S. Kim, W. Hall, A. Keane. Using document structures for personal ontologies and user modeling. In User Modeling 2001: 8th International Conference LNCS 2109, pages 240–242, Sonthofen, Germany, 2001. Springer-Verlag.

    Google Scholar 

  16. A. Levy, A. Rajaraman, and J. Ordille. Querying heterogeneous information sources using source descriptions. In Proc. of International Conference on Very Large Data Bases (VLDB’96),pages 251–262, Bombay, India, 1996. Morgan Kaufmann.

    Google Scholar 

  17. H. Lieberman. Letizia: An agent that assists web browsing. In Proc. of International Joint Conference on Artificial Intelligence (IJCAI 95),pages Vol. 1, 924–929, Montreal, Quebec, Canada, 1995. Morgan Kaufmann.

    Google Scholar 

  18. J. S. Park and R. S. Sandhu. Secure cookies on the web. IEEE Internet Computing, 4(4):36–44, 2000.

    Article  Google Scholar 

  19. A. Pretschner, S. Gauch. Ontology based personalized search. In IEEE International Conference on Tools with Artificial Intelligence,pages 391–398, Chicago, 1999.

    Google Scholar 

  20. G. Somlo, A. E. Howe. Incremental clustering for profile maintenance in information gathering web agents. In Proc. of International Conference on Autonomous Agents 2001, pages 262–269, Montreal, Canada, 2001. ACM Press.

    Google Scholar 

  21. G. Terracina, D. Ursino. Deriving synonymies and homonymies of object classes in semi-structured information sources. In Proc. of International Conference on Management of Data (COMAD 2000),pages 21–32, Pune, India, 2000. McGraw Hill.

    Google Scholar 

  22. P. R. S. Visser, V. A. M. Tamma. An experience with ontology-based agent clustering. In IJCAI-99 Workshop on Ontologies and Problem-Solving Methods (KRR5), pages 12–1–12–13, Stockolm, Sweden, 1999.

    Google Scholar 

  23. O. Zaiane, M. Xin,and J. Han. Discovering web access patterns and trends by applying olap and data mining technology on web logs. In IEEE Advances in Digital Libreries Conference (ADL’98),pages 19–29, Santa Barbara, California, USA, 1998. IEEE Computer Society Press.

    Google Scholar 

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Author information

Authors and Affiliations

  1. DIMET - Università “Mediterranea” di Reggio Calabria, Via Graziella,Lo calità Feo di Vito, 89060, Reggio Calabria, Italy

    Francesco Buccafurri, Gianluca Lax, Domenico Rosaci & Domenico Ursino

Authors
  1. Francesco Buccafurri
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  2. Gianluca Lax
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  3. Domenico Rosaci
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  4. Domenico Ursino
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Editor information

Editors and Affiliations

  1. DOA Institute, p/a Leeuwlantstraat 83, 2100, Antwerp, Belgium

    Robert Meersman

  2. RMIT University School of Computer Science and IT, GPO Box 2476V, VIC 3001, Melbourne, Australia

    Zahir Tari

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© 2002 Springer-Verlag Berlin Heidelberg

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Buccafurri, F., Lax, G., Rosaci, D., Ursino, D. (2002). A User Behavior-Based Agent for Improving Web Usage. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2002: CoopIS, DOA, and ODBASE. OTM 2002. Lecture Notes in Computer Science, vol 2519. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36124-3_74

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  • DOI: https://doi.org/10.1007/3-540-36124-3_74

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00106-5

  • Online ISBN: 978-3-540-36124-4

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