A Templating System to Generate Provenance
Year: 2017
Type: article
Abstract: PROV-TEMPLATEIS a declarative approach that enables designers and programmers to design and generate provenance compatible with the PROV standard of the World Wide Web Consortium. Designers specify the topology of the provenance to be generated by composing templates, which are provenance graphs containing variables, acting as placeholders for values. Programmers write programs that log values and package them up in sets of bindings, a data structure associating variables and values. An expansion algorithm generates instantiated provenance from templates and sets of bindings in any of the serialisation formats supported by PROV. A quantitative evaluation shows that sets of bindings have a size that is typically 40 percent of that of expanded provenance templates and that the expansion algorithm is suitably tractable, operating in fractions of milliseconds for the type of templates surveyed in the article. Furthermore, the approach shows four significant software engineering benefits: separation of responsibilities, provenance maintenance, potential runtime checks and static analysis, and provenance consumption. The article gathers quantitative data and qualitative benefits descriptions from four different applications making use of PROV-TEMPLATE. The system is implemented and released in the open-source library ProvToolbox for provenance processing.
Institution: University of Southampton
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $2,645
Awards: SOCIAM: The Theory and Practice of Social Machines, HUMAN-AGENT COLLECTIVES: FROM FOUNDATIONS TO APPLICATIONS [ORCHID], G1567076892, G2336299548, G3015293812, The use of interactive electronic-books in the teaching and application of modern quantitative methods in the social sciences, G5105763708, Hybrid and Diversity-Aware Collective Adaptive Systems: When People Meet Machines to Build a Smarter Society
OpenAlex ID: W2581905020
