The Community for Technology Leaders
2013 6th International Workshop on Requirements Engineering and Law (RELAW) (2012)
Chicago, IL, USA USA
Sept. 25, 2012 to Sept. 25, 2012
ISBN: 978-1-4673-4380-0
pp: 29-32
Krishna Sapkota , Department of Computing, Oxford Brookes University, UK
Arantza Aldea , Department of Computing, Oxford Brookes University, UK
Muhammad Younas , Department of Computing, Oxford Brookes University, UK
David A. Duce , Department of Computing, Oxford Brookes University, UK
Rene Banares-Alcantara , Department of Engineering Science, University of Oxford, UK
ABSTRACT
Extracting essential meaning from the regulatory text helps in the automation of the Compliance Management (CM) process. CM is a process where organizations assure that the processes are run according to requirements and expectations. However, extraction of meaningful text from regulatory guidelines comes with many research challenges such as dealing with different document-format, implicit document-structure, textual ambiguity and complexity. In this paper, the extended version of the Semantic-ART framework is described, which focuses on tackling the challenges of document-structure identification and regulatory-entity extraction. An initial result has shown an inspirational result as compared to the previous version of the framework.
INDEX TERMS
text analysis, regulation extraction, regulatory compliance, compliance management, information extraction
CITATION
Krishna Sapkota, Arantza Aldea, Muhammad Younas, David A. Duce, Rene Banares-Alcantara, "Extracting meaningful entities from regulatory text: Towards automating regulatory compliance", 2013 6th International Workshop on Requirements Engineering and Law (RELAW), vol. 00, no. , pp. 29-32, 2012, doi:10.1109/RELAW.2012.6347798
99 ms
(Ver 3.3 (11022016))