Multi-layer Trust Reasoning on Open Provenance Model for E-Science Environment

Trust for the data created and processed on e-Science environment can be estimated with provenance. The information to form provenance, which says how the data was created and reached its current state, increases as data evolves. It is a heavy burden to trace and verify the massive provenance along the history of data in order to trust data. On the other hand, it is another issue how to trust the verification of data with provenance assuming that the provenance is believable. This paper proposes the property-based trust reasoning which cuts down the overhead to track the history and the origin of data with provenance by semantic path on Open Provenance Model(OPM). Also, the domain-based trust reasoning is adopted, which uses the domain specialty of e-Science environment. The two trust reasonings form the multi-layer trust reasoning. The effectiveness of the proposal is shown by quantitative analysis of overhead reduction as well as by qualitative analysis of trust reasoning.