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Information Agents for Optimal Repurposing and Personalization of Web Contents in Semantics-Aware Ubiquitous and Mobile Computing Environments

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4149))

Abstract

Web contents repurposing and personalization is becoming crucial for enabling ubiquitous Web access from a wide range of mobile devices under varying conditions that may depend on device capabilities, network connectivity, navigation context, user preferences, user disabilities and existing social conventions. Semantic annotations can provide additional information so that a content adaptation engine, based on the holistic integration of both Information Agents and Semantic Web technologies, can make better decisions, leading to optimal results in terms of legibility and usability. Bearing this in mind, this paper presents the rationale behind MorfeoSMC: an open source mobility platform that enables the development of semantics-aware mobile applications and services in order to provide improved Web accessibility and increase social inclusion. In particular, the paper focuses on how MorfeoSMC information agents tackle the use of semantic markup in the information rendered for users through the mobility platform and as part of a user-interest profile-aware and navigation context-aware Web content adaptation process. It also presents an innovative semantic matching framework that is at the core of this semantics-aware Web content adaptation process.

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© 2006 Springer-Verlag Berlin Heidelberg

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Alonso, F., Frutos, S., Jiménez, M., Soriano, J. (2006). Information Agents for Optimal Repurposing and Personalization of Web Contents in Semantics-Aware Ubiquitous and Mobile Computing Environments. In: Klusch, M., Rovatsos, M., Payne, T.R. (eds) Cooperative Information Agents X. CIA 2006. Lecture Notes in Computer Science(), vol 4149. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11839354_6

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  • DOI: https://doi.org/10.1007/11839354_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38569-1

  • Online ISBN: 978-3-540-38570-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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