A Semantic Framework for the Management of Enriched Provenance Logs

Provenance is a key metadata for assessing electronic documents trustworthiness. It gives an indicator on the reliability and the quality of the document content. Most of the applications exchanging and processing documents on the web or in clouds become provenance aware and provides heterogeneous, decentralized and not interoperable provenance data. Most of provenance management systems are either dedicated to a specific application (workflow, database) or a specific data type. Those systems were not conceived to support provenance over distributed and open sources. Hence, collecting and querying provenance from heterogeneous sources is always a challenging task. This work presents a new provenance management framework based on semantic web technologies. It allows to import provenance sources, to enrich them semantically to obtain high level representation of provenance. It supports semantic correlation between different provenance sources and allows the use of a high level semantic query language.