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Web Quality Assessment Model: Trust in QA Social Networks

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Ubiquitous Intelligence and Computing (UIC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6905))

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Abstract

The Web Quality Assessment (WQA) model formalizes the customizable quality assessment (QA) process on the Web – every information consumer can define a set of QA policies, which are then, as part of the QA process, applied to the set of resources requested by the consumer to deduce the quality of the resources. To improve the result of such QA process, we introduced a concept of QA social networks – a mechanism to share QA policies among trustworthy entities to reinforce the number of QA policies applied during the QA process in the WQA model. In this paper, we detail the trust model underpinning the QA social network, i.e. what we mean under “trusting another entity” and how trust can be expressed and persisted; we propose a scalable and robust trust algorithm GriTa capable of deriving trust between arbitrary two entities in the QA social network. The goal of the WQA model is to provide a generally usable QA model with the social network dimension in mind – this paper contributes to that goal by presenting computation of trust in QA social networks.

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Author information

Authors and Affiliations

  1. Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic

    Tomáš Knap & Irena Mlýnková

Authors
  1. Tomáš Knap
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  2. Irena Mlýnková
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Engineering, Chung Hua University, 300, Hsinchu, Taiwan

    Ching-Hsien Hsu

  2. Department of Computer Science, St. Francis Xavier University, B2G 2W5, Antigonish, NS, Canada

    Laurence T. Yang  & Chunsheng Zhu  & 

  3. Faculty of Computer and Information Sciences, Hosei University, 184-8584, Tokyo, Japan

    Jianhua Ma

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Knap, T., Mlýnková, I. (2011). Web Quality Assessment Model: Trust in QA Social Networks. In: Hsu, CH., Yang, L.T., Ma, J., Zhu, C. (eds) Ubiquitous Intelligence and Computing. UIC 2011. Lecture Notes in Computer Science, vol 6905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23641-9_22

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  • DOI: https://doi.org/10.1007/978-3-642-23641-9_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23640-2

  • Online ISBN: 978-3-642-23641-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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