Principles of the Business Rule Approach
Principles of the Business Rule Approach
Motivations and methods for text simplification
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
SOUPS '06 Proceedings of the second symposium on Usable privacy and security
Reasoning about Conditions and Exceptions to Laws in Regulatory Conformance Checking
DEON '08 Proceedings of the 9th international conference on Deontic Logic in Computer Science
EdAppsNLP '09 Proceedings of the Fourth Workshop on Innovative Use of NLP for Building Educational Applications
An Environment for the Joint Management of Written Policies and Business Rules
ICTAI '10 Proceedings of the 2010 22nd IEEE International Conference on Tools with Artificial Intelligence - Volume 02
Lexicalized ontology for a business rules management platform: an automotive use case
RuleML'11 Proceedings of the 5th international conference on Rule-based modeling and computing on the semantic web
Combining acquisition and debugging of business rule models
RuleML'13 Proceedings of the 7th international conference on Theory, Practice, and Applications of Rules on the Web
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This paper tackles the problem of rule acquisition, which is critical for the development of BRMS. The proposed approach assumes that regulations written in natural language (NL) are an important source of knowledge but that turning them into formal statements is a complex task that cannot be fully automated. The present paper focuses on the first phase of this acquisition process, the normalization phase that aims at transforming NL statements into controlled language (CL), rather than on their formalization into an operational rule base. We show that turning a NL text into a set of self-sufficient and independent CL rules is itself a complex task that involves some lexical and syntactic normalizations but also the restoration of contextual information and of implicit semantic entities to get a set of self-sufficient and unambiguous rule statements. We also present the SemEx tool that supports the proposed acquisition methodology based on the selection of the relevant text fragments and their progressive and interactive transformation into CL rule statements.