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- 30 creator ankesh-khandelwal.
- 30 creator ian-jacobi.
- 30 creator lalana-kagal.
- 30 type InProceedings.
- 30 label "Rule-Based Trust Assessment on the Semantic Web".
- 30 sameAs 30.
- 30 abstract "The Semantic Web is a decentralized forum on which anyone can publish their structured data or extend and reuse existing data. This inherent openness of the Semantic Web raises questions about the trustworthiness ofWeb data|which data sources to trust, what kinds of data from these sources to trust, how to make declarations about trust, how to use these declarations to calculate trust, etc. One of the main factors that trust depends on is the provenance of the data, which could be as simple as its source or contain the entire deduction trace including the facts and rules applied in order to reach the data as a conclusion. It must be possible to assess trustworthiness of data by evaluating trust declarations of all types including those associated with data and rules used in deductions. This paper does not propose a new trust management model or mechanism. Instead, it identies two trust axes namely data and rules and two trust categories namely content-based and metadata-based from which different trust assessment models may be derived and shows how AIR, a Web rule language, can be used to declaratively describe these models.".
- 30 hasAuthorList authorList.
- 30 isPartOf proceedings.
- 30 keyword "Semantic Web trust models".
- 30 keyword "rule-based trust".
- 30 keyword "trust assessment".
- 30 title "Rule-Based Trust Assessment on the Semantic Web".