![]() ![]() As it is obvious, the approach stresses on the distributed and collaborative construction of ontologies. Akin to HCOME, DILIGENT method (DIstributed, Loosely-controlled and evolving Engineering of oNTologies) focuses on a user-centric ontology development which is divided into several phases to be carried out in multiple iterations:(i) build collaboratively the first version of an ontology (seed ontology) through a core team of domain experts, users, knowledge engineers, and ontology engineers (ii) adapt the ontology locally to the specific requirements of each knowledge engineer in his/her respective environment (iii) analyze local branches of the shared ontology with respect to their mutual differences via an ontology engineering board (iv)i n t r o d u c ean e w version of the shared ontology based on changes agreed in the previous phase (v) update local ontologies locally by knowledge engineers via reusing new terms instead of using their previously defined local terms. A data-driven and bottom-up conceptualization approach is also proposed in the updated version of the HCOME methodology, supported by learning seed ontologies (knowledge in that case is extracted from query logs).DILIGENT. We take the user's own view seriously and enable feedback towards the evolution of the ontology, stressing the ontology's role as a shared conceptualisation. ![]() With DILIGENT the experience distilled from a number of case studies and offers the knowledge manager a methodology to work in an ever‐changing environment.ĭILIGENT is the first methodology to put focus not on the initial development of the ontology, but on the user and his usage of the ontology, and on the changes introduced by the user. Identifies those kind of arguments which work best for the discussion of ontology changes.ĭILIGENT recognizes ontology engineering methodologies like OnToKnowledge or Methontology as proven useful for the initial design, but expands them with its strong focus on the user‐centric further development of the ontology and the provided integration of automatic agents in the process of ontology evolution. During the evolution of ontologies, arguments need to be exchanged about the suggested changes. With the case studies it was discovered the strengths and weaknesses of DILIGENT. The second part describes case studies, either already performed or planned, and what we learned (or expect to learn) from them. Aims to present the ontology engineering methodology DILIGENT, a methodology focussing on the evolution of ontologies instead of the initial design, thus recognizing that knowledge is a tangible and moving target.įirst describes the methodology as a whole, then detailing one of the five main steps of DILIGENT. ![]()
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