Trio: a system for data, uncertainty, and lineage
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Business Provenance --- A Technology to Increase Traceability of End-to-End Operations
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Preventing history forgery with secure provenance
ACM Transactions on Storage (TOS)
Provenance as first class cloud data
ACM SIGOPS Operating Systems Review
Document provenance in the cloud: constraints and challenges
EUNICE'10 Proceedings of the 16th EUNICE/IFIP WG 6.6 conference on Networked services and applications: engineering, control and management
The Open Provenance Model core specification (v1.1)
Future Generation Computer Systems
Principles of Distributed Database Systems
Principles of Distributed Database Systems
Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends
IEEE Internet Computing
A Semantic Framework for the Management of Enriched Provenance Logs
AINA '12 Proceedings of the 2012 IEEE 26th International Conference on Advanced Information Networking and Applications
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Today, 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. Provenance is becoming a key metadata for assessing electronic documents trustworthiness and should be considered as first class data. Most of provenance management systems are either dedicated to a specific application (workflow, database) or a specific data type. Moreover, in modern infrastructures such as cloud, applications can be deployed and are executed on several provider infrastructure. So, there is a need to track the provenance of applications between different provenance providers. For these reasons, modeling, collecting and querying provenance across heterogeneous distributed sources is considered as a challenging task. In this paper, we introduce a framework based on semantic web models supporting syntactic and semantic heterogeneity of provenance sources and correlations between multiple sources. This framework is implemented as a provenance management system (or PMS). We focus on the design of a mediator based system allowing to federate distributed PMSs and we present optimization issues related to distributed query processing.