A Novel Approach for Resolving Knowledge Inconsistency on Ontology Syntactic Level - Artificial Intelligence in Theory and Practice IV Access content directly
Conference Papers Year : 2015

A Novel Approach for Resolving Knowledge Inconsistency on Ontology Syntactic Level

Trung Van Nguyen
  • Function : Author
  • PersonId : 990917
Jason J. Jung
  • Function : Author
  • PersonId : 990918
Hanh Huu Hoang
  • Function : Author
  • PersonId : 990919

Abstract

Solving the inconsistency of knowledge is a challenging task in the ontology integration. There are two levels for processing knowledge inconsistence which are based on logics: syntactic level and semantic level. In this paper, we propose a consensus-based method to resolve inconsistent knowledge on the syntactic level, where a knowledge state can be represented by a conjunction of literals.
Fichier principal
Vignette du fichier
371690_1_En_4_Chapter.pdf (341.01 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01383945 , version 1 (19-10-2016)

Licence

Attribution

Identifiers

Cite

Trung Van Nguyen, Jason J. Jung, Hanh Huu Hoang. A Novel Approach for Resolving Knowledge Inconsistency on Ontology Syntactic Level. 4th IFIP International Conference on Artificial Intelligence in Theory and Practice (AI 2015), Oct 2015, Daejeon, South Korea. pp.39-49, ⟨10.1007/978-3-319-25261-2_4⟩. ⟨hal-01383945⟩
43 View
81 Download

Altmetric

Share

Gmail Facebook X LinkedIn More