Automated classification of business rules from text

作者: Manish Motwani , Preethu Rose Anish , Smita Ghaisas , Shashi Kant Sharma

DOI:

关键词:

摘要: The present subject matter relates to an automated classification of business rules. In one embodiment, a method for the rules comprises identifying rule from text document, wherein or more intents. Further, comparing intents in with associated plurality types repository. Furthermore, classifying under at least based on comparison.

参考文章(9)
Christian Drumm, Jens Lemcke, Ganapathy Subramanian, Daniel Oberle, Vivek Krishnamurthy Dornal, Ontology-based generation and integration of information sources in development platforms ,(2008)
Frederik Gailly, Guido L. Geerts, Ontology-Driven Business Rule Specification Journal of Information Systems. ,vol. 27, pp. 79- 104 ,(2013) , 10.2308/ISYS-50428
Bart A. Lewin, Taro Ito, Leo Chu, Automated method and system for a gaming opportunity ,(2007)
Frank Schilder, Ravi Kumar Kondadadi, Christopher Dozier, Financial event and relationship extraction ,(2009)
Kelly G. Walker, Paul A. Dunn, Timothy A. Chartrand, Method and apparatus for analyzing three-dimensional data ,(2008)
Nirmal K. Mukhi, Francisco Phelan Curbera, Yurdaer Nezihi Doganata, Kevin Patrick McAuliffe, Aleksander A. Slominski, Axel Martens, Huong Thu Morris, Chung-Sheng Li, Sharon C. Adler, Validating Compliance in Enterprise Operations Based on Provenance Data ,(2008)
Deborah Montague, Cameron Davies, Anjali Dange, Phi Hoang, Xia Ying, Rudranil Manna, Mark W. Shafer, System and method for hybrid hierarchical segmentation ,(2010)