Invention Grant
- Patent Title: Ontology-aided business rule extraction using machine learning
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Application No.: US14084964Application Date: 2013-11-20
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Publication No.: US09940581B2Publication Date: 2018-04-10
- Inventor: James E. Bostick , John M. Ganci, Jr. , Paul E. Hensler , Craig M. Trim
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Schmeiser, Olsen & Watts
- Agent William H. Hartwell
- Main IPC: G06F17/00
- IPC: G06F17/00 ; G06N5/02

Abstract:
An approach for distinguishing a business rule from a non-business rule in a computer program is provided. A rule in the program is identified based on a conditional statement within the rule. Whether the rule performs underlying operation of the program independent of a business function of the program is determined. The rule and metadata of the rule are searched for a key word which indicates part of a business transaction. Whether a sequence of program steps in the rule matches a predetermined sequence of program steps indicative of a business rule or whether the sequence of program steps in the rule matches a predetermined sequence of program steps indicative of underlying operation of the program independent of the business function of the program is determined. If the rule is a business rule is determined based on both determining steps and both searching steps.
Public/Granted literature
- US20150142718A1 Ontology-Aided Business Rule Extraction Using Machine Learning Public/Granted day:2015-05-21
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