Knowledge engineering method based on consensual knowledge and trust computation: The MUSCKA system - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Conference Papers Year : 2016

Knowledge engineering method based on consensual knowledge and trust computation: The MUSCKA system

Une méthode d'ingénierie des connaissances fondée sur les connaissances consensuelles et des calculs de la croyance : le système MUSKA

Abstract

We propose a method for building a knowledge base addressing specific issues such as covering end-users’ needs. After designing an ontology module representing the knowledge needed, we enrich and populate it automatically with knowledge extracted from existing sources such as thesauri or classifications. The originality of our proposition is to propose ontological object candidates from existing sources according to their relatedness to the ontological module and to their trust score. This paper describes the trust measures we propose which are obtained by analysing the consensus found in existing sources. We consider that knowledge is more reliable if it has been extracted from several sources. Our measures has been evaluated on a real case study with experts from the agriculture domain.

Dates and versions

hal-02603637 , version 1 (16-05-2020)

Identifiers

Cite

Fabien Amarger, Jean-Pierre Chanet, Ollivier Haemmerlé, Nathalie Jane Hernandez, Catherine Roussey. Knowledge engineering method based on consensual knowledge and trust computation: The MUSCKA system. 22nd International Conference on Conceptual Structures, ICCS 2016, Jul 2016, Annecy, France. pp.177-190, ⟨10.1007/978-3-319-40985-6_14⟩. ⟨hal-02603637⟩
29 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More