Improving comprehension of knowledge representation languages: A case study with Description Logics

Volume: 122, Pages: 145 - 167
Published: Feb 1, 2019
Abstract
Knowledge representation languages are frequently difficult to understand, particularly for those not trained in formal logic. This is the case for Description Logics, which have been adopted for knowledge representation on the Web and in a number of application areas. This work looks at the difficulties experienced with Description Logics; and in particular with the widely-used Manchester OWL Syntax, which employs natural language keywords. The...
Paper Details
Title
Improving comprehension of knowledge representation languages: A case study with Description Logics
Published Date
Feb 1, 2019
Volume
122
Pages
145 - 167
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.