From Natural Language to SBVR Model Authoring Using Structured English for Compliance Checking
| Autor: | Deepali Kholkar, Vinay Kulkarni, Sagar Sunkle, Suman Roychoudhury |
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| Rok vydání: | 2017 |
| Předmět: |
Vocabulary
business.industry Business process Computer science Semantics (computer science) media_common.quotation_subject ComputingMilieux_LEGALASPECTSOFCOMPUTING 020207 software engineering 02 engineering and technology Turnaround time Formal specification 0202 electrical engineering electronic engineering information engineering Structured English 020201 artificial intelligence & image processing Semantics of Business Vocabulary and Business Rules Software engineering business Natural language media_common |
| Zdroj: | EDOC |
| DOI: | 10.1109/edoc.2017.19 |
| Popis: | In spite of the proliferation of the business process and data compliance checking approaches, in practice, regulatory compliance management still demands considerable manual intervention. Previous research in the field of compliance has established that the manual specification/tagging of the regulations not only fails to ensure their proper coverage but also negatively affects the turnaround time both in proving and maintaining the compliance. Our contribution is an (semi-) automated transformation of the legal NL (English) text to SBVR Model via authoring of Structured English (SE) rules. The key benefit of our approach is the direct involvement of the domain experts to specify regulations using SE, which is close to English, rather than a formal specification language. We substantiate the approach using an example from industry regulations in banking and financial services domain. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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