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Personalised Provenance Reasoning Models and Risk Assessment in Business Systems: A Case Study
2013
2013 IEEE Seventh International Symposium on Service-Oriented System Engineering
As modern information systems become increasingly business-and safety-critical, it is extremely important to improve both the trust that a user places in a system and their understanding of the risks associated with making a decision. This paper presents the STRAPP framework, a generic framework that supports both of these goals through the use of personalised provenance reasoning engines and state-of-art risk assessment techniques. We present the high-level architecture of the framework, and
doi:10.1109/sose.2013.53
dblp:conf/sose/TownendWVDDLXFVDTAMH13
fatcat:f4ma4ldvxjb5xn6y53zucjbfhe