METHOD AND SYSTEM FOR IDENTIFICATION OF RELATION AMONG RULE INTENTS FROM A DOCUMENT

摘要

A method and a system for mining rule intents from documents is provided, wherein the rule intents are basic atomic facts present in a sentence. The proposed method and system for identification of relation among rule intents from a document is performed in multiple stages that include identification and optimization of a pair-wise relation graph from rule intents based on a plurality of relation optimizing heuristic rules. The relations identified among the rule intents are displayed in Semantics of Business Vocabulary and Rules (SBVR) format, which can be easily analyzed by machines as SBVR is a comprehensive standard for business rule representation by Object Management Group (OMG) in accordance with set of a standard pre-defined vocabularies.