ONTORULE Project

From GM-RKB
Jump to navigation Jump to search

See: European, Research Project, Sylvie Szulman, Ontoprise.



References

2011

  • (Nazarenko et al., 2011) ⇒ Adeline Nazarenko, Abdoulaye Guissé, François Lévy, Nouha Omrane, and Sylvie Szulman. (2011). “Integrating Written Policies in Business Rule Management Systems.” In: Proceedings of the 5th International Symposium on Rules (RuleML 2011-Europe) doi:10.1007/978-3-642-22546-8_9
    • ABSTRACT: 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.

2009

  • http://ontorule-project.eu/project
    • The broader objective of the ONTORULE project is to enable the right people to interact in their own way with the right part of their business application: that means different people with different tasks, requirements, and objectives and with different background, knowledge and languages, ranging from business executives over business analysts to IT developers, who all interact in different ways with different aspects of a business application, to use, control, maintain and/or evolve it. We believe that this can be achieved by cleanly separating the domain ontology from the actual business rules, on the one hand; and the representation of the knowledge from its operationalisation in IT applications, on the other hand. The vocabulary and terminology that is required to express the business rules, and the underlying conceptual structure, must be acquired from the natural language sources, including business policy documents; the rules must be authored by the owner of the business policies that they aim to implement, using that vocabulary; the data models for the IT applications must be designed by IT developers based on the application requirements.