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| Content Provider | ACM Digital Library |
|---|---|
| Author | Sakka, Mohamed Amin Defude, Bruno |
| Abstract | 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. |
| Starting Page | 193 |
| Ending Page | 198 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450312349 |
| DOI | 10.1145/2351476.2351499 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-08-08 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Provenance management system Distributed querying Data provenance |
| Content Type | Text |
| Resource Type | Article |
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