A Novel Collaborative Approach for Business Rules Consistency Management

Houari, Nawal Sad; Taghezout, Noria

doi:10.1007/978-3-319-32877-5_12

Cited by 2 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The whole process needs to pass through several steps, from the introduction of the rule until the final storage in the rules base. The major steps of the methodological process are visualised in Figure 2 as follows [37,44,45].…”

Section: Addressed Problems and Contributionmentioning

confidence: 99%

See 1 more Smart Citation

A knowledge-based model for managing the ontology evolution: case study of maintenance in SONATRACH

Sad-Houari

Taghezout

Nador

2018

Journal of Information Science

Self Cite

View full text Add to dashboard Cite

The challenges of the development of a suitable ontology scheme in decision-making environment should be taken in conjunction with the exploitation of more recent technologies. It is expected that the use of ontologies will lead to the construction of more intelligent applications, allowing them to work more specifically at a human conceptual level. We propose in this article an approach that analyses the impact of changes in the ontology on business rules in order to detect inconsistencies that may be generated. In addition, the developed tool provides solutions to repair inconsistencies with the help of domain experts. In our work, business rules are edited from the concepts and properties that are stored in an OWL (Web Ontology Language) ontology named OntoloG. This latter is implemented throughout the use of Protégé 4.0.2.with the OWL sub-language. OntoloG has been developed by the knowledge acquisition from documents, collection and capitalisation of business rules process with experts in SONATRACH AVAL.

show abstract

Section: Addressed Problems and Contributionmentioning

confidence: 99%

“…One of the important concepts that is related to business rules is consistency, a set of rules is called coherent if it contains no inconsistencies. There are several types of inconsistencies that can affect a set of rules; we deal in this study with the following cases [44,45]:…”

Section: Proposed Approachmentioning

confidence: 99%