Abstract
Ubiquitous User Modeling aims at providing personalized services to inhabitants of smart environments. Current research in ubiquitous user modeling focuses on two directions. The first is a practical approach that tries to resolve current problems of sparseness of data and heterogeneity of user modeling techniques and representations by mediation of user models or building hybrid systems. The second approach is based on semantic standardization of user modeling enabling user modeling data exchange and sharing by using a common user modeling ontology and language. Although both approaches have their limitations, their integration has the potential to leverage their advantages and overcome the limitations. This paper discusses initial work done in this direction, suggests a path for such integration, and points out research directions aimed at bridging the gap between these approaches.
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References
Adomavicius, G., Sankaranarayanan, R., Sen, S., Tuzhilin, A.: Incorporating Contextual Information in Recommender Systems using a Multidimensional Approach. ACM Transactions on Information Systems 23(1), 103–145 (2005)
Berkovsky, S., Aroyo, L., Heckmann, D., Houben, G.J., Kröner, A., Kuflik, T., Ricci, F.: Predicting User Experiences through Cross-Context Reasoning. In: Proceedings of ABIS 2006 - 14th Workshop on Adaptivity and User Modeling in Interactive Systems, Hildesheim, Germany, October 9-11 (2006)
Berkovsky, S., Kuflik, T., Ricci, F.: Mediation of user models for enhanced personalization in recommender systems. User Modeling and User-Adapted Interaction 18(3), 245–286 (2008)
Blass, C.: Ubiquitous User Modeling: Semantic Conflict Resolution with WordNet, Bachelor Thesis, Saarland University (2007)
Burke, R.: Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction 12(4), 331–370 (2002)
Dey, A.K., Abowd, G.D.: Towards a better understanding of context and context-awareness. Technical Report GIT-GVU-99-22, College of Computing, Georgia Institute of Technology, Atlanta, Georgia, U.S.A (1999)
Fellbaum, C. (ed.): WordNet – An Electronic Lexical Database. The MIT Press, Cambridge (1998)
Gruber, T.R.: A translation approach to portable ontologies. Knowledge Acquisition 5(2), 199–220 (1993)
Heckmann, D.: Ubiqutous User Modeling. Akademische Verlagsgesellschaft Aka GmbH, Berlin (2006) ISBN 3-89838-297-4 and ISBN 1-58603-608-4
Heckmann, D., Blass, C.: Context Integration for Ubiquitous User Modeling: Solving Semantic Conflicts with WordNet and GUMO. In: 5th International Workshop on Ubiquitous User Modeling, UbiqUM 2008, Gran Canaria, Spain (2008)
Heckmann, D., Krueger, A.: A User Modeling Markup Language (UserML) for Ubiquitous Computing. In: Brusilovsky, P., Corbett, A.T., de Rosis, F. (eds.) UM 2003. LNCS (LNAI), vol. 2702, pp. 393–397. Springer, Heidelberg (2003)
Heckmann, D.: Introducing situational statements as an integrating data structure for user modeling, context-awareness and resource-adaptive computing. In: Hoto, A., Stumme, G. (eds.) LLWA Lehren - Lernen - Wissen - Adaptivität (ABIS 2003), Karlsruhe, Germany, pp. 283–286 (2003)
Herlocker, J.L., Konstan, J.A., Borchers, A., Riedl, J.: An Algorithmic Framework for Performing Collaborative Filtering. In: Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Berkeley, CA (1999)
Jameson, A.: Modeling both the context and the user. Personal Technologies 5(1), 29–33 (2001)
Kay, J.: The UM toolkit for reusable, long term user models. User Modeling and User-Adapted Interaction 4(3), 149–196 (1995)
Kobsa, A.: Generic user modeling systems. User Modelling and User-Adapted Interaction Journal 11(1-2), 49–63 (2001)
Kray, C.: Situated Interaction on Spatial Topics. DISKI, vol. 274. Aka Verlag, Berlin (2003)
McCarthy, J., Buvac, S.: Formalizing context (expanded notes). In: Aliseda, A., van Glabbek, R.J., Westerstahl, D. (eds.) Computing Natural Language. CSLI Lecture Notes. Center for the Study of Language and Information, vol. 81, Standford University, CA, pp. 13–50 (1998)
McCalla, G., Vassileva, G., Greer, J., Bull, S.: Active Learner Modelling. In: Gauthier, G., VanLehn, K., Frasson, C. (eds.) ITS 2000. LNCS, vol. 1839, pp. 53–62. Springer, Heidelberg (2000)
Mehta, B., Niederee, C., Stewart, A., Degemmis, M., Lops, P., Semeraro, G.: Ontologically-Enriched Unified User Modeling for Cross-System Personalization. In: Ardissono, L., Brna, P., Mitrović, A. (eds.) UM 2005. LNCS (LNAI), vol. 3538, pp. 119–123. Springer, Heidelberg (2005)
Mehta, B., Nejdl, W.: Intelligent Distributed User Modelling: from Semantics to Learning. In: UbiDeUM, Corfu, Greece (2007)
Morita, M., Shinoda, Y.: Information Filtering Based on User Behavior Analysis and Best Match Retrieval. In: Proceedings of the Annual International Conference on Research and De-velopment in Information Retrieval, Dublin, Ireland (1994)
Muhammad, T., Vassileva, J.: Policies for Distributed User Modeling in Online Communities. In: Proc. Workshop UbiDeUM 2007, at the 11th International Conference UM 2007, Corfu (2007)
Pease, A., Niles, I., Li, J.: The suggested upper merged ontology: A large ontology for the semanticweb and its applications. In: AAAI 2002 Workshop on Ontologies and the Semantic Web. Working Notes (2002), http://projects.teknowledge.com/AAAI-2002/Pease.ps
Stahl, C., Heckmann, D.: Using semantic web technology for ubiquitous location and situation modeling. The Journal of Geographic Information Sciences CPGIS: Berkeley 10, 157–165 (2004)
van Assem, M., Gangemi, A., Schreiber, G.: Rdf/owl representation of wordnet. Technical report, Vrije Universiteit Amsterdam (2002)
van der Sluijs, K., Houben, G.J.: Towards a Generic User Model Component. In: Workshop on Personalization on the Semantic Web (PerSWeb 2005), at the 10th International Conference on User Modeling (UM 2005), Edinburgh, Scotland, July 25-26, pp. 43–52 (2005)
Vassileva, J., Greer, J.E., McCalla, G.I.: Openness and Disclosure in Multi-agent Learner Models. In: Proceedings of the Workshop on Open, Interactive, and Other Overt Approaches to Learner Modeling, International Conference on AI in Education, Lemans, France (1999)
Vassileva, J.: Distributed User Modeling for Universal Information Access. In: Stephanidis, C. (ed.) Universal Access in Human - Computer Interaction (UAHCI), Proceedings of the 9th International Conference on Human-Computer Interaction, New Orleans, USA, vol. 3, pp. 122–126. Lawrence Erlbaum, Mahwah (2001)
Vassileva, J., McCalla, G., Greer, J.: Multi-Agent Multi-User Modeling. User Modelling and User Adapted Interaction 13(1), 1–31 (2003)
Yimam-Seid, D., Kobsa, A.: Expert Finding Systems for Organizations: Problem and Domain Analysis and the DEMOIR Approach. Journal of Organizational Computing and Electronic Commerce 13(1), 1–24 (2003)
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Berkovsky, S., Heckmann, D., Kuflik, T. (2009). Addressing Challenges of Ubiquitous User Modeling: Between Mediation and Semantic Integration. In: Kuflik, T., Berkovsky, S., Carmagnola, F., Heckmann, D., Krüger, A. (eds) Advances in Ubiquitous User Modelling. Lecture Notes in Computer Science, vol 5830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05039-8_1
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DOI: https://doi.org/10.1007/978-3-642-05039-8_1
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