Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Conference papers

Knowledge Engineering Method Based on Consensual Knowledge and Trust Computation: The MUSCKA System

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

Cited literature [14 references]  Display  Hide  Download
Contributor : Open Archive Toulouse Archive Ouverte (OATAO) Connect in order to contact the contributor
Submitted on : Wednesday, February 14, 2018 - 4:26:05 PM
Last modification on : Monday, July 4, 2022 - 8:59:52 AM
Long-term archiving on: : Sunday, May 6, 2018 - 10:46:36 AM


Files produced by the author(s)


  • HAL Id : hal-01709185, version 1
  • OATAO : 18839


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. International Conference on Conceptual Structures (ICCS 2016), Jul 2016, Annecy, France. pp. 177-190. ⟨hal-01709185⟩



Record views


Files downloads