Abstract
This work approaches the problem of modelling interactions between users and an adaptive system. It is presented the approach adopted in the MAIS project for modelling and designing a recommendation environment for delivering services in a personalized way. The model relies on semantic description of services, on rule-based user profile (part of these studies came from the experience in the KIWI project) and on the use of semantic matching algorithms. We also present the design of the recommendation engine, that is the core subcomponent of the Environment, which performs the task to evaluate each service according to user preferences.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Cardoso, S.: Semantic e-Workflow composition. LSDIS Lab., Department of Computer Science, University of Georgia (2003)
Sivashaunmugam, K.: The METEOR-S Framework for Semantic Web Service Discovery. LSDIS Lab., Department of Computer Science, University of Georgia (2002)
Herzum, P., Sims, O.: Business Component Factory, ch. 2. John Wiley & Sons, Chichester (1999)
Corallo, A., Caforio, A., Elia, G., Solazzo, G.: Service Customization Supporting an Adaptive Information System. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3215, pp. 342–349. Springer, Heidelberg (2004)
OWL-S 1.0 Release, http://www.daml.org/services/owl-s/1.0/
Paolucci et al.: Semantic Matching of Web Services Capabilities. Carnegie Mellon University, Pittsburgh, USA (2002)
Ran, S.: A model for Web Service Discovery with QoS (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Corallo, A., Elia, G., Lorenzo, G., Solazzo, G. (2005). A Knowledge-Based Interaction Model Between Users and an Adaptive Information System. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_103
Download citation
DOI: https://doi.org/10.1007/11552413_103
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28894-7
Online ISBN: 978-3-540-31983-2
eBook Packages: Computer ScienceComputer Science (R0)