Modeling Ontology-Driven Personalization of Web Contents

Brambilla, Marco; Tziviskou, Christina

doi:10.1109/icwe.2008.44

Cited by 6 publications

(2 citation statements)

References 12 publications

(17 reference statements)

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“…Then, in an implicit way, the update of the profile data is done by further analyzing the usage traces. In Brambilla and Tziviskou (2008), the ontology contains a main concept "user", which is linked to the rest of concepts by means of special relations. For instance, the relation prefers expresses the objects of interest for the user in the application domain ontology and the relation requests expresses the objects of the domain ontology requested by the user.…”

Section: Tailored User Profilesmentioning

confidence: 99%

Knowledge-driven delivery of home care services

et al. 2010

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Home Care (HC) assistance is emerging as an effective and efficient alternative to institutionalized care, especially for the case of senior patients that present multiple co-morbidities and require life long treatments under continuous supervision. The care of such patients requires the definition of specially tailored treatments and their delivery involves the coordination of a team of professionals from different institutions, requiring the management of many kinds of knowledge (medical, organizational, social and procedural). The K4Care project aims to assist the HC of elderly patients by proposing a standard HC model and implementing it in a knowledge-driven e-health platform aimed to support the provision of HC services.

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Section: Tailored User Profilesmentioning

confidence: 99%

Knowledge-driven delivery of home care services

et al. 2010

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“…In this work we extend the framework presented in [3], that provides: conceptual modeling of the domain ontology; new conceptual primitives that explore the ontological model and extract data; a basic ontology-based profiling mechanisms; and reasoning methods for presenting personalized contents. The current proposal presents a more accurate profiling through a complete algorithm for reasoning on the domain ontology and on the user profile in order to publish personalized data.…”

Section: Introductionmentioning

confidence: 99%

Semantic personalization of web portal contents

Tziviskou

Brambilla

2007

Proceedings of the 16th International Conference on World Wide Web

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Enriching Web applications with personalized data is of major interest for facilitating the user access to the published contents, and therefore, for guaranteeing successful user navigation. We propose a conceptual model for extracting personalized recommendations based on user profiling, ontological domain models, and semantic reasoning. The approach offers a high-level representation of the designed application based on a domainspecific metamodel for Web applications called WebML.

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