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An Industrial Case Study on Provenance Awareness of Composite Services

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Paraskevi Zerva, Kahina Hamadache, George Angouras, Steffen Zschaler, Simon Miles

Original languageEnglish
Title of host publicationSemantics, Knowledge and Grids (SKG), 2014 10th International Conference on
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479967162
PublishedAug 2014
Event10th International Conference on Semantics, Knowledge and Grids (SKG 2014) - Beijing, China
Duration: 27 Aug 201429 Aug 2014


Conference10th International Conference on Semantics, Knowledge and Grids (SKG 2014)

King's Authors


Provenance awareness adds a new dimension to the engineering of service-based systems, enabling them to increase their accountability through answering questions about the provenance of any data produced. Provenance awareness can be achieved by recording provenance data during system execution. In our previous work we have proposed an overall research agenda towards a design and analysis framework for provenance awareness of composite services. A fundamental element of this framework is the provenance model, Service Provontology, capturing the structure of the provenance data collected which allows designers to query and reason over provenance data instances of composite services. With this paper we contribute an industrial case study exploring real-world provenance data from a service-based system (ORBI). In our study ServiceProv becomes the tool for enabling representation and reasoning over ORB provenance data instances in order to answer specific provenance questions formalized as SPARQL expressions.

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