Authors:
Deepali Kholkar
;
Sagar Sunkle
and
Vinay Kulkarni
Affiliation:
Tata Consultancy Services, India
Keyword(s):
Formal Compliance Checking, Knowledge Representation, Knowledge Base, Fact-oriented Model, SBVR, Model Transformation, Reasoning, Defeasible Logic, Enterprise Data Integration.
Related
Ontology
Subjects/Areas/Topics:
Domain-Specific Languages
;
Model Transformation
;
Modeling Languages
;
Models
;
Paradigm Trends
;
Software Engineering
Abstract:
Enterprises today face an unprecedented regulatory regime and are increasingly looking to technology to
ease their regulatory compliance concerns. Formal approaches in research focus on checking compliance of
business processes against rules, and assume usage of matching terminology on both sides. We focus on
run-time compliance of enterprise data, and the specific problem of identifying enterprise data relevant to a
regulation, in an automated manner. We present a knowledge representation approach and semi-automated
solution using models and model transformations to extract the same from distributed enterprise databases.
We use a Semantics of Business Vocabulary and Rules (SBVR) model of regulation rules as the basis to arrive
at the necessary and sufficient model of enterprise data. The approach is illustrated using a real-life case study
of the MiFID-II financial regulation.