Data Management

Transformation Framework for SBVR Based Semantic Queries in Business Information Systems

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Executive Summary

The paper presents transformation framework from questions in structured language based on Semantics of Business Vocabulary and Rules (SBVR) into SPARQL queries over ontologies defined in Web Ontology Language OWL 2 and, possibly, supplemented with Semantic Web rules SWRL. Such transformation depends on OWL 2 ontology related with corresponding SBVR vocabulary and rules. The current work considers a family of transformations and meta-models required for relating ontologies, rules, SPARQL queries and real business data supported by computerised information systems, as well as establishes requirements for harmonizing the coexistence and preserving semantics of these different representations.

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