E-healthcare via Customized Information Services: Addressing the Need for Factually Consistent Information
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Abstract
Web portals provide an efficient gateway to a broad range of E-services, resources and information. Web portals need to evolve towards being adaptive in nature, so that the ensuing E-services provided by them are dynamically tailored to meet the diverse needs of its users. This paper explores the use of intelligent techniques, in particular constraint satisfaction methods, to develop adaptive E-services that provide customized and factually consistent information to users. We model the generation of customized information content as a constraint satisfaction problem—a solution is derived by (a) satisfying user-model constraints with information document selection constraints; and (b) establishing inter-document consistency when dynamically combining heterogeneous information documents. The work is applied in an E-Healthcare setting leading to the generation of personalized healthcare information.
Keywords
User Profile Constraint Satisfaction Constraint Satisfaction Problem Information Coverage Information PackageReferences
- 1.Rust, R.T., Lemon, K.N.: E-service and the consumer. International Journal of Electronic Commerce 5(3), 85–102 (2001)Google Scholar
- 2.Helal, S., Su, S., Meng, J., Krithivasan, R., Jagatheesan, A.: The Internet enterprise. In: Proceedings of Symposium on Application and the Internet (2002)Google Scholar
- 3.Zirpins, C., Weinreich, H., Bartelt, A., Lamersdorf, W.: Advanced concepts for next generation portals. In: Proceedings of 12th International Workshop on Database and Expert Systems Applications, September 3-7, pp. 501–506 (2001)Google Scholar
- 4.Piccinelli, G., Salle, M., Zirpins, C.: Service-oriented modelling for e-business applications components. In: Proceedings of 10th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE), June 20-22, pp. 12–17 (2001)Google Scholar
- 5.Bogonikolos, N., Makris, C., Tsakalidis, A., Vassiliadis, B.: Adapting information presentation and retrieval through user modeling. In: Proceedings of International Conference on Information Technology: Coding and Computing, April 2-4, pp. 399–104 (2001)Google Scholar
- 6.Zhang, Y., Im, I.: Recommender systems: A framework and research issues. In: Proceedings of American Conference on Information Systems (2002)Google Scholar
- 7.Fink, J., Kobsa, A.: Putting personalization into practice. Communications of the ACM 45(5) (2002)Google Scholar
- 8.Abidi, S.S.R., Chong, Y., Abidi, S.R.: Patient empowerment via ‘pushed’ delivery of personalized healthcare Educational content over the internet. In: Proceedings of 10th World Congress on Medical Informatics, London (2001)Google Scholar
- 9.Brusilovsky, P.: Methods and techniques of adaptive hypermedia. In: Brusilovsky, P., Kobsa, A., Vassileva, J. (eds.) Adaptive Hypertext and Hypermedia, pp. 1–43. Kluwer Academic Publishers, Dordrecht (1998a)Google Scholar
- 10.Brusilovsky, P., Kobsa, A., Vassileva, J. (eds.): Adaptive Hypertext and Hypermedia. Kluwer Academic Publishers, Dordrecht (1998b)Google Scholar
- 11.Kobsa, A.: Personalized hypermedia presentation techniques for improving online customer relationships. The Knowledge Engineering Review 16(2), 111–155 (1999)CrossRefGoogle Scholar
- 12.Perkowitz, M., Etzioni, O.: Adaptive web sites. Communications of the ACM 43(8), 152–158 (2000)CrossRefGoogle Scholar
- 13.Henze, N., Nejdl, W.: Extendible adaptive hypermedia courseware: integrating different courses and web material. In: Brusilovsky, P., Stock, O., Strapparava, C. (eds.) AH 2000. LNCS, vol. 1892, pp. 109–120. Springer, Heidelberg (2000)CrossRefGoogle Scholar
- 14.Kobsa, A., Muller, D., Nill, A.: KN-AHS: an adaptive hypermedia client of the user modeling system BGP-MS. In: Proceeding of the Fourth International Conference on User Modeling, pp. 99–105 (1994)Google Scholar
- 15.Boyle, C., Encarnacion, A.O.: MetaDoc: An adaptive hypertext reading system. User Models and User Adapted Interaction 4(1), 1–19 (1994)CrossRefGoogle Scholar
- 16.Ardissono, L., Goy, A.: Tailoring the interaction with users in web stores. User Modelling and User Adapted Interaction 10(4), 251–303 (2000)CrossRefGoogle Scholar
- 17.Hohl, H., Bocker, H.D., Gunzenhauser, R.: HYPADAPTER: an adaptive hypertext system for exploratory learning and programming. User Modelling and User Adapted Interaction 6(2), 131–155Google Scholar
- 18.Kaplan, C., Fenwick, J., Chen, J.: Adaptive hypertext navigation based on user goals and context. User Modelling and User Adapted Interaction 3(3), 193–220Google Scholar
- 19.Oppermann, R., Specht, M.: A context sensitive nomadic information system as an exhibition guide. In: Thomas, P., Gellersen, H.-W. (eds.) HUC 2000. LNCS, vol. 1927, pp. 127–142. Springer, Heidelberg (2000)CrossRefGoogle Scholar
- 20.Tsang, E.: Foundations of constraint satisfaction. Academic Press, London (1993)Google Scholar
- 21.Sabin, D., Freuder, E.: Configuration as composite constraint satisfaction. In: Proceedings of the Artificial Intelligence and Manufacturing Research Planning Workshop, pp. 153–161 (1996)Google Scholar
- 22.Torrens, M., Faltings, B.: SmartClients: Constraint satisfaction as a paradigm for scale-able intelligent information systems. In: Workshop on Artificial Intelligence on Electronic Commerce, AAAI 1999, Orlando, Florida, USA (1999)Google Scholar
- 23.De Rosis, F., Pizzutilo, S., Russo, A.: User tailored hypermedia explanations. In: INTERCHI 1993 Adjunct proceedings, Amsterdam (1993)Google Scholar
- 24.Beaumont, I.H.: User modeling in the interactive anatomy tutoring system ANATOMTUTOR. User Models and User Adapted Interaction 4(1), 21–45 (1994)CrossRefMathSciNetGoogle Scholar
- 25.Barták, R.: Constraint programming: In pursuit of the holy grail. In: Proceedings of the Week of Doctoral Students (WDS 1999), Part IV, pp. 555–564. MatFyzPress, Prague (1999)Google Scholar
- 26.Brohman, M.T., Watson, R.T., Piccoli, G., Parasuraman, A.: Data completeness: A key to effective net-based customer service systems. Communications of the ACM 46(6), 47–51 (2003)CrossRefGoogle Scholar
- 27.Bental, D.: Adapting web-based information to the needs of patients with cancer. In: Proceedings of International Conference On Adaptive Hypertext and Adaptive Web-based Systems, Trento, Italy, pp. 27–37 (2000)Google Scholar
- 28.Wilke, W., Bergmann, R.: Techniques and Knowledge Used for Adaptation During Case Based Problem Solving. In: Mira, J., Moonis, A., de Pobil, A.P. (eds.) IEA/AIE 1998. LNCS (LNAI), vol. 1416, Springer, Heidelberg (1998)CrossRefGoogle Scholar