One Method for Provenance Tracking of Product Lifecycle Data in Collaborative Service Environment

Abstract

It is vital to provides more necessary and accurate data for product services and knowledge discovery through provenance tracking of product lifecycle data. We propose one three-level framework of provenance tracking of product lifecycle data, which is consisting of business level, process level and data level firstly. After the models of product lifecycle data and their data provenance are given, the organization of product lifecycle data and the design of provenance annotations are explored. Then the tracking algorithms are described and one method for product lifecycle data on business level in collaborative service environment is suggested. The method is verified in one prototype system. The verification results show that it is enough to the provenance tracking of product life statuses and physical BOM in collaborative service environment.