A MAUT APPROACH FOR REUSING DOMAIN ONTOLOGIES ON THE BASIS OF THE NeOn METHODOLOGY

摘要: Knowledge resource reuse is becoming a widespread approach in the ontology engineering field because it can speed up development process. In this context, NeOn Methodology specifies some guidelines for reusing different types of knowledge resources (ontologies, nonontological resources, and design patterns). These prescribe how to perform activities involved any diverse processes. One such activity select best an development. This selection complex decision-making problem involving conflicting objectives, like understandability, integration or reliability. We propose multi-attribute utility theory (MAUT) deal with domain ontologies reuse, stressing identification attributes measure performances. take advantage sensitivity analysis tools provided by GMAA system, PC-based decision support system based on additive model, exploit imprecise information inputs. An example concerning subset new sports illustrates approach.