AHP Techniques for Trust Evaluation in Semantic Web

The increasing reliance on information gathered from the web and otherinternet technologies raise the issue of trust. Through the development of semanticWeb, One major difficulty is that, by its very nature, the semantic web is a large,uncensored system to which anyone may contribute. This raises the question of howmuch credence to give each resource. Each user knows the trustworthiness of eachresource. Top-down or global credibility values would not be assigned due to thesubjective nature of trust. Trust policies and trust evaluation mechanisms areneeded to filter untrustworthy resource. This problem was tackled in this researchby employing a trust model for evaluating trustworthiness of each resource. Thisproposed model used semantic web metadata, recommendation, and reputation asbased factor for evaluation algorithm. The weighting and combination methods aretwo main challenges for proposed trust evaluation algorithm. These factors havevarious type and semantic. Therefore analytical hierarchy procedure (AHP)technique was applied for trust evaluation that offers justification for trust decisionsand controlled trust measurement.

AHP Techniques for Trust Evaluation in Semantic Web Keywords:

Trust , Hybrid Trust Model , Semantic Web , Content Trust , AHP