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Semantics and Verification of Entity Resolution and Data Fusion Operations via Transformation into a Formal Notation

Semantics and Verification of Entity Resolution and Data Fusion Operations via Transformation into a Formal Notation

Author(s): Sergey Stupnikov
Created:2017/12/05
Published:Data Analytics and Management in Data Intensive Domains, XVIII International Conference, DAMDID/RCDL 2016, Ershovo, Moscow, Russia, October 11-14, 2016, Revised Selected Papers, Springer International Publishing AG 2017 Springer. Communications in Computer and Information Science, Vol. 706, P. 145-162, 2017.
Abstract:
During all the period of development of data integration methods and tools the issues of formal semantics definition and verification were arising. Three levels of integration can be distinguished: data model integration, schema matching and integration and data integration proper. This paper is aimed at development of methods and tools for formal semantics definition and verification on the third level level of data proper. An approach for definition of formal semantics for high-level data integration programs is proposed. The semantics is defined using a transformation into a formal specification language supported by automatic/interactive provers. The semantics is applied for verification of structured data integration workflows. Workflow properties to be verified are presented as expressions of the specification language chosen. After that a semantic specification of the data integration workflow is verified w.r.t. required properties. A practical aim of the work is to define a basis for formal verification of data integration workflows during problem solving in various integration environments.
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