A Rule-based Adaption Model for Ontology-based Personalization

Tran DT, Cimiano P, Ankolekar A (2008)
In: Advances in Semantic Media Adaptation and Personalization. Wallace M, Angelides M, Mylonas P (Eds); Studies in Computational Intelligence; 93. Berlin, Heidelberg: Springer: 117-135.

Sammelwerksbeitrag | Veröffentlicht | Englisch
 
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Autor*in
Tran, Duc Thanh; Cimiano, PhilippUniBi ; Ankolekar, Anupriya
Herausgeber*in
Wallace, M.; Angelides, M.; Mylonas, P.
Abstract / Bemerkung
Various adaptive hypermedia systems have been proposed to alleviate information overload on the Web by personalising the delivery of information and resources to the user. These systems have however been afflicted with difficulties in the acquisition of an accurate user model, a limited degree of customization offered to the user as well as general lack of user control on and transparency of the systems’ adaptive behavior. In this chapter, we argue that the use of rules on top on ontologies can enable adaptive functionality that is transparent and controllable for users. To this end, we present ODAS, a domain ontology for adaptive hypermedia systems, and a model for the specification of ODAS-based adaptation rules. We demonstrate the use of this model by showing how it can be instantiated within a knowledge portal to arrive at rules that exploit ODAS semantics to perform meaningful personalization.
Erscheinungsjahr
2008
Buchtitel
Advances in Semantic Media Adaptation and Personalization
Serientitel
Studies in Computational Intelligence; 93
Seite(n)
117-135
ISBN
9783540763598
ISSN
1860-949X
Page URI
https://pub.uni-bielefeld.de/record/2497444

Zitieren

Tran DT, Cimiano P, Ankolekar A. A Rule-based Adaption Model for Ontology-based Personalization. In: Wallace M, Angelides M, Mylonas P, eds. Advances in Semantic Media Adaptation and Personalization. Studies in Computational Intelligence; 93. Berlin, Heidelberg: Springer; 2008: 117-135.
Tran, D. T., Cimiano, P., & Ankolekar, A. (2008). A Rule-based Adaption Model for Ontology-based Personalization. In M. Wallace, M. Angelides, & P. Mylonas (Eds.), Studies in Computational Intelligence; 93. Advances in Semantic Media Adaptation and Personalization (pp. 117-135). Berlin, Heidelberg: Springer. doi:10.1007/978-3-540-76361_6
Tran, Duc Thanh, Cimiano, Philipp, and Ankolekar, Anupriya. 2008. “A Rule-based Adaption Model for Ontology-based Personalization”. In Advances in Semantic Media Adaptation and Personalization, ed. M. Wallace, M. Angelides, and P. Mylonas, 117-135. Studies in Computational Intelligence; 93. Berlin, Heidelberg: Springer.
Tran, D. T., Cimiano, P., and Ankolekar, A. (2008). “A Rule-based Adaption Model for Ontology-based Personalization” in Advances in Semantic Media Adaptation and Personalization, Wallace, M., Angelides, M., and Mylonas, P. eds. Studies in Computational Intelligence; 93 (Berlin, Heidelberg: Springer), 117-135.
Tran, D.T., Cimiano, P., & Ankolekar, A., 2008. A Rule-based Adaption Model for Ontology-based Personalization. In M. Wallace, M. Angelides, & P. Mylonas, eds. Advances in Semantic Media Adaptation and Personalization. Studies in Computational Intelligence; 93. Berlin, Heidelberg: Springer, pp. 117-135.
D.T. Tran, P. Cimiano, and A. Ankolekar, “A Rule-based Adaption Model for Ontology-based Personalization”, Advances in Semantic Media Adaptation and Personalization, M. Wallace, M. Angelides, and P. Mylonas, eds., Studies in Computational Intelligence; 93, Berlin, Heidelberg: Springer, 2008, pp.117-135.
Tran, D.T., Cimiano, P., Ankolekar, A.: A Rule-based Adaption Model for Ontology-based Personalization. In: Wallace, M., Angelides, M., and Mylonas, P. (eds.) Advances in Semantic Media Adaptation and Personalization. Studies in Computational Intelligence; 93. p. 117-135. Springer, Berlin, Heidelberg (2008).
Tran, Duc Thanh, Cimiano, Philipp, and Ankolekar, Anupriya. “A Rule-based Adaption Model for Ontology-based Personalization”. Advances in Semantic Media Adaptation and Personalization. Ed. M. Wallace, M. Angelides, and P. Mylonas. Berlin, Heidelberg: Springer, 2008. Studies in Computational Intelligence; 93. 117-135.
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