TY - GEN
T1 - Using mediation to achieve provenance interoperability
AU - Ellkvist, Tommy
AU - Koop, David
AU - Freire, Juliana
AU - Silva, Cláudio
AU - Strömbäck, Lena
PY - 2009
Y1 - 2009
N2 - Provenance is essential in scientific experiments. It contains information that is key to preserving the data, to determining their quality and authorship, and to reproduce as well as validate the results. In complex experiments and analyses, where multiple tools are used to derive data products, provenance captured by these tools must be combined in order to determine the complete lineage of the derived products. In this paper we describe a mediator-based architecture for integrating provenance information from multiple sources. This architecture contains two key components: a global mediated schema that is general and capable of representing provenance information represented in different model; and describe a new system-independent query API that is general and able to express complex queries over provenance information from different sources. We also present a case study where we show how this model was applied to integrate provenance from three provenance-enabled systems and discuss the issues involved in this integration process.
AB - Provenance is essential in scientific experiments. It contains information that is key to preserving the data, to determining their quality and authorship, and to reproduce as well as validate the results. In complex experiments and analyses, where multiple tools are used to derive data products, provenance captured by these tools must be combined in order to determine the complete lineage of the derived products. In this paper we describe a mediator-based architecture for integrating provenance information from multiple sources. This architecture contains two key components: a global mediated schema that is general and capable of representing provenance information represented in different model; and describe a new system-independent query API that is general and able to express complex queries over provenance information from different sources. We also present a case study where we show how this model was applied to integrate provenance from three provenance-enabled systems and discuss the issues involved in this integration process.
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U2 - 10.1109/SERVICES-I.2009.68
DO - 10.1109/SERVICES-I.2009.68
M3 - Conference contribution
AN - SCOPUS:72849125334
SN - 9780769538129
T3 - SERVICES 2009 - 5th 2009 World Congress on Services
SP - 291
EP - 298
BT - Proceedings - 2009 IEEE Congress on Services, SERVICES 2009
T2 - SERVICES 2009 - 5th 2009 World Congress on Services
Y2 - 21 September 2009 through 25 September 2009
ER -