EKAW '99 Proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management
KIM – a semantic platform for information extraction and retrieval
Natural Language Engineering
Document annotation and ontology population from linguistic extractions
Proceedings of the 3rd international conference on Knowledge capture
SOUPS '06 Proceedings of the second symposium on Usable privacy and security
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications
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
Connecting Legacy Code, Business Rules and Documentation
RuleML '08 Proceedings of the International Symposium on Rule Representation, Interchange and Reasoning on the Web
The TERMINAE Method and Platform for Ontology Engineering from Texts
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
KnowWE: a Semantic Wiki for knowledge engineering
Applied Intelligence
Formalization of natural language regulations through SBVR structured english
RuleML'13 Proceedings of the 7th international conference on Theory, Practice, and Applications of Rules on the 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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Knowledge acquisition is a key issue in the business rule methodology. As Natural Language (NL) policies and regulations are often important or even contractual sources of knowledge, we propose a framework for acquisition and maintenance of business rules based on NL texts. It enables business experts to author the specification of rule applications without the help of knowledge engineers. This framework has been created as part of the ONTORULE project, which is defining an integrated platform for acquisition, maintenance and execution of business-oriented knowledge bases combining ontologies and rules. Our framework relies on a data structure, called "index", encompassing and connecting the source text, the ontology and a textual representation of rules. Textual rules are as close to the Structured English representation of SBVR as possible for business users in charge of rule elicitation. The index relies on W3C technologies, which makes the tools interoperable and enable semantic search. We show that such an index structure supports the parallel maintenance of policy documents and knowledge bases (acquisition, consistency check and update). Two detailed examples with preliminary results are provided, one from air travel and the other from the automotive industry.