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A Semantic Web Model for Computing Trust in Research Social Networks

Ziaie, Alireza | 2009

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 39087 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Abolhassani, Hassan; Habibi, Jafar
  7. Abstract:
  8. Trust as a major part of human interactions, lets us take the risk of decision making in uncertain situations. In computer science trust has lots of applications, and is stated as the highest level in the Semantic Web Cake and one of the seven points of W3C consortium. Trust can be embedded into several different networks and Social networks. Regarding to the fact that rust is transitive and value of trust can be compound and different paths in trust graph has different properties; a trust framework can be formed to embed trust into different networks. This framework should define trust and distrust, certainty and uncertainty, context and trust propagation. Architecture of this general framework can also be used in trust models which are developed based on this framework. In this research after forming this framework we will study Social Networks and their properties which are “Power-Law Distribution”, “high clustering co-efficient” and “Small World Phenomenon”. In order to build a research network trust model we will discuss Research Social Network and Credo Trust Model will be proposed to infer trust in a Reseach Social Networks, a complete formalism will also be proposed. By extending social networks it is necessary to keep their characteristics. In this research we will propose some techniques to keep such characteristics in social networks and some of these techniques will be used in Credo Trust Model. In other words Credo is a trust model which guarantees that by using it in any social reseach network it will keep social network main characteristics
  9. Keywords:
  10. Semantic Web ; Trust Model ; Generic Trust Model ; Credo Trust Model ; Research Social Network ; Context-sensitive Trust Model

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