Abstract
Nowadays, every public or private company has to provide the access to their services through Internet. Unfortunately, the access channels and devices increase both in numbers and heterogeneity. We started few years ago with a PC, wired connected to Internet, moved to wireless access through mobile phone and looking, in the next future, at wearable devices. If we also would like to take into account the user’s preferences and his possible handicap we easily realise that combinations increase exponentially making impossible to adapt everything. The paper presents a rule based framework allowing to automatically adapt contents and services according to device capability, communication channel, user preferences and access context.
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References
Troiano, L., Birtolo, C., Armenise, R., Cirillo, G.: Optimization of menu layout by means of genetic algorithms. In: van Hemert, J., Cotta, C. (eds.) EvoCOP 2008. LNCS, vol. 4972, pp. 242–253. Springer, Heidelberg (2008)
Troiano, L., Birtolo, C., Miranda, M.: Adapting palettes to color vision deficiencies by genetic algorithm. In: GECCO 2008: Proceedings of the 10th annual conference on Genetic and evolutionary computation, Atlanta, Georgia, USA, 12-16 July 2008, pp. 1065–1072 (2008)
Wu, H., De Bra, P.: Sufficient Conditions for Well-behaved Adaptive Hypermedia Systems (2001)
RuleML Iniziative, http://www.ruleml.org
Wagner, G., Damásio, C.V., Lukichev, S.: First-Version Rule Markup Languages (2005)
Paschke, A., Kozlenkov, A., Boley, H.: A Homogenous Reaction Rule Language for Complex Event Processing. In: 2nd International Workshop on Event Drive Architecture and Event Processing Systems (EDA-PS 2007), Vienna, Austria (2007)
De virgilio, R., Torlone, R.: FAWIS: A Tool for the Automatic Generation of Adaptive Web Sites, MAIS (2006)
Tran, T., Cimiano, P., Ankolekar, A.: Rules for an Ontology-based Approach to Adaptation. In: First International Workshop on Semantic Media Adaptation and Personalization (2006)
De Bra, P., Aerts, A., Berden, B., de Lange, B., Rousseau, B., Santic, T., Smits, D., Stash, N.: Aha! The adaptive hypermedia architecture. In: Proceedings of the ACM Hypertext Conference, Nottingham, UK (2003)
Brusilovsky, P.: Methods and Techniques of Adaptive Hypermedia (1996)
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Capuano, N., De Maio, G.R., Ritrovato, P., Scibelli, G. (2009). Improving Access to Services through Intelligent Contents Adaptation: The SAPI Framework. In: Lytras, M.D., et al. Visioning and Engineering the Knowledge Society. A Web Science Perspective. WSKS 2009. Lecture Notes in Computer Science(), vol 5736. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04754-1_26
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DOI: https://doi.org/10.1007/978-3-642-04754-1_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04753-4
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