A semantic framework for the management of enriched provenance logs - Archive ouverte HAL
Communication Dans Un Congrès AINA '12 : The 26th IEEE International Conference on Advanced Information Networking and Applications Année : 2012

A semantic framework for the management of enriched provenance logs

Résumé

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.
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Dates et versions

hal-00737565 , version 1 (02-10-2012)

Identifiants

Citer

Mohamed Amin Sakka, Bruno Defude, Jorge Tellez. A semantic framework for the management of enriched provenance logs. AINA '12 : The 26th IEEE International Conference on Advanced Information Networking and Applications, Mar 2012, Fukuoka-Shi, Japan. pp.352-359, ⟨10.1109/AINA.2012.9⟩. ⟨hal-00737565⟩
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