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Trust Seeking in Social Networks Based on Semantic Reasoning on Profiles

Pourmand, Naeemeh | 2012

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 43192 (52)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Sadighi Moshkenani, Mohsen
  7. Abstract:
  8. With the development of social network sites and wide use of Social Networks, information security and confidence of its components, became more and more important and turned into subject of many studies and researches. Relationship based on trust besides increasing productivity reduces risk of information transmission to non-related people. Although in the real world, semantic relations are the main basics for trust, but the existing methods of trusting in current sites have less attention to this point. To reduce such issues, firstly this research is going to use an added semantic understanding on top of the social networks structure. To do so, there is an inference engine in addition to a new knowledge base added to other conventional structures designed for social networks and an internal structure of both is discussed. After that, based on this new ability, adding a semantic engine was planned to control people’s trust based on relations of nodes in users’ ontology. We will use the meaning of relationships of Social Network members; to provide some rules to calculate a semantic-based trust. In this method, users will be able to have control over their information and give the access only to people who are known as trustworthy based on semantic approach (using ontology and reasoning). In order to prove the concept, a comparison has been done between our results and current Social Networks trust map. In addition a survey has been conducted among people to ask about the necessity and favorite features of trust in Social Networks
  9. Keywords:
  10. Semantic Web ; Social Networks ; Trust Management ; Semantic Trust Seeking ; Trust Metrics

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