The goal of the paper is to analyse the subset of Semantics of Business Vocabulary and Business Rules (SBVR) for a comprehensive representation of ontological knowledge defined using the Web Ontology Language OWL 2. SBVR is the OMG metamodel, which separates the representation and meaning of business concepts and business rules, and makes them understandable for business experts as well as for software systems. The SBVR can act as an interface between business participants and semantic technologies, such as OWL 2 that has developed means for describing ontological data and reasoning with them. SBVR provides the richer model for knowledge representation than OWL 2. Though there are a few proposals that have shown that it is possible to transform the significant subset of SBVR concepts into OWL 2 ontology, the suitability of SBVR to represent OWL 2 ontologies has not been studied in detail. The paper addresses the mentioned issue with regards to the transformation from SBVR into OWL 2.
The goal of the paper is to analyse the relevance of the proposed transformation from business vocabularies and business rules, based on Semantics of Business Vocabulary and Business Rules (SBVR), to the corresponding OWL 2 ontologies. The transformation was aimed to be model driven, lossless and reversible; adaptable to English, Lithuanian and other similar natural languages; covering transformable SBVR concepts and as much as possible OWL 2 concepts, especially those that are important for inference, and supporting the consistency and normalization of resulting ontologies. The paper presents a detailed comparison of the proposed solution with the most advanced, to our knowledge, related works and the experimental investigation of the implemented transformation prototype with nine SBVR business vocabularies and business rule sets with regards to the defined desirable criteria.
Semantics of Business Vocabulary and Business Rules (SBVR) is the richest knowledge model allowing to create specifications that are understandable for business people and also interpretable by computers. Existing SBVR editors still lack capabilities that could allow generating formal SBVR models, adapting SBVR to several languages or making SBVR extensions for various purposes (e.g., implementing transformations to software modelling languages) without changing the original SBVR metamodel. The goal of the paper is to present a grammar for SBVR structured language and a prototype of SBVR editor, created on the base of this grammar. An experiment conducted with the prototype has shown that it allows defining business vocabularies, business rules and questions in SBVR structured English and Lithuanian languages; producing formal SBVR models; using concepts from several vocabularies, and extending SBVR without changing its metamodel.
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