发明名称 |
GENERATION OF PROOF EXPLANATION IN REGULATORY COMPLIANCE MANAGEMENT |
摘要 |
This disclosure relates generally to regulatory compliance management, and more particularly to method and system for generation of proof explanation in regulatory compliance management. In one embodiment, the method for includes modeling an operations dictionary associated with business facts data of an enterprise, a regulations dictionary from regulatory rules data and a terminological dictionary having terminological variations of concepts and natural language statements associated with the regulatory rules data. A proof of one of a compliance and non-compliance in form of one of success rules and failure rules and corresponding facts is obtained from a compliance determination engine. The method includes systematically mapping words selected from the operations dictionary, the regulations dictionary and the terminological dictionary based at least on a concept associated with the proof to obtain the explanation of the proof in natural language. |
申请公布号 |
US2017061445(A1) |
申请公布日期 |
2017.03.02 |
申请号 |
US201615247098 |
申请日期 |
2016.08.25 |
申请人 |
Tata Consultancy Services Limited |
发明人 |
SUNKLE Sagar;KHOLKAR Deepali D P;KULKARNI Vinay |
分类号 |
G06Q30/00;G06F17/27;G06Q10/06 |
主分类号 |
G06Q30/00 |
代理机构 |
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代理人 |
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主权项 |
1. A processor implemented method for generating explanation of proofs associated with regulatory information, the method comprising:
modeling, via one or more hardware processors, an operations dictionary by identifying a first set of discriminative words from business facts data of an enterprise, the first set of discriminative words indicative of a plurality of concepts in the business facts data; modeling, via the one or more hardware processors, a regulations dictionary by identifying a second set of discriminative words from a regulatory rules data, the regulatory rules data associated with compliance rules of the enterprise; modeling, via the one or more hardware processors, a terminological dictionary comprising terminological variations of the plurality of concepts and natural language statements associated with the regulatory rules data; obtaining a proof of one of a compliance and non-compliance in form of one of success rules and failure rules and corresponding facts from a compliance determination engine, via the one or more hardware processors; and systematically mapping, via the one or more hardware processors, words selected from the operations dictionary, the regulations dictionary and the terminological dictionary based at least on a concept of the plurality of concepts in the proof to obtain the explanation of the proof in natural language. |
地址 |
Mumbai IN |