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Multi-dialect Workflows

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8716))

Abstract

The results presented in this paper contribute to the techniques for conceptual representation of data analysis algorithms as well as processes to specify data and behavior semantics in one paradigm. An investigation of a novel approach for applying a combination of semantically different platform independent rule-based languages (dialects) for interoperable conceptual specifications over various rule-based systems (RSs) relying on the rule-based program transformation technique recommended by the W3C Rule Interchange Format (RIF) is extended here. The approach is coupled also with the facilities for heterogeneous information resources mediation. This paper extends a previous research of the authors [1] in the direction of workflow modeling for definition of compositions of algorithmic modules in a process structure. A capability of the multi-dialect workflow support specifying the tasks in semantically different languages mostly suited to the task orientation is presented. A practical workflow use case, the interoperating tasks of which are specified in several rule-based languages (RIF-CASPD, RIF-BLD, RIF-PRD) is introduced. In addition, OWL 2 is used for the conceptual schema definition, RIF-PRD is used also for the workflow orchestration. The use case implementation infrastructure includes a production rule-based system (IBM ILOG), a logic rule-based system (DLV) and a mediation system.

This research has been done under the support of the RFBR (projects 13-07-00579, 14-07-00548) and the Program for Basic Research of the Presidium of RAS.

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Kalinichenko, L., Stupnikov, S., Vovchenko, A., Kovalev, D. (2014). Multi-dialect Workflows. In: Manolopoulos, Y., Trajcevski, G., Kon-Popovska, M. (eds) Advances in Databases and Information Systems. ADBIS 2014. Lecture Notes in Computer Science, vol 8716. Springer, Cham. https://doi.org/10.1007/978-3-319-10933-6_26

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  • DOI: https://doi.org/10.1007/978-3-319-10933-6_26

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10932-9

  • Online ISBN: 978-3-319-10933-6

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