Producing BPEL models from text

摘要

Business Process Execution Language (BPEL) is employed to elucidate business processes within web service of enterprises thus a standard business language SBVR (Semantic Business Vocabulary and Rules) is available to deal with the ambiguous nature of textual business information. The description of structured vocabularies demands significant attention while transformation to avoid resulting inconsistent ontologies. The methods of assembling interactions such as transformation processes of abstract domain models to the detailed and executed for implementation of successful BPM and SOA, proved partially successful in transformation however retain the properties of quality, reliability and consistency so far. Authoring BPEL code manually requires comprehension of the semantic components among domains. In this paper, we proposed a model to ease the implementation process by automating BPEL business process from textual business information to facilitate business organization with efficient and cohesive methodology by offering SBVR business rules parsing, information extraction and integration, mapping logics to OWL2 and BPEL that result with an improved automated system.