Semantic-ART: a framework for semantic annotation of regulatory text

Authors:
Krishna Sapkota;Arantza Aldea;David A. Duce;Muhammad Younas;René Bañares-Alcántara
Affiliations:
Oxford Brookes University, Oxford, United Kingdom;Oxford Brookes University, Oxford, United Kingdom;Oxford Brookes University, Oxford, United Kingdom;Oxford Brookes University, Oxford, United Kingdom;University of Oxford, Oxford, United Kingdom
Venue:
Proceedings of the fourth workshop on Exploiting semantic annotations in information retrieval
Year:
2011

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Abstract

Converting regulatory texts to machine interpretable models can enhance the automation of compliance management (CM) processes. The process poses serious research challenges as the information to be extracted from the regulatory texts comes from different regulatory bodies and is in different formats. In this paper, we present the main problems that we have faced in this area and how we have tackled them. Our proposed framework, Semantic-ART, considers the use of semantic annotation (SA) techniques to extract the regulations automatically.