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Adding verbalization to graphical ontology editor OWLGrEd

  • University of Latvia

Research output: Contribution to journal › Article › peer-review

Abstract

To participate in Semantic Web projects, domain experts need to be able to understand the ontologies involved. Visual notations can provide an overview of the ontology and help users to understand the connections among entities. However, users first need to learn the visual notation before they can interpret it correctly. Controlled natural language representation would be readable right away and might be preferred in case of complex axioms, however, the structure of the ontology would remain less apparent. To achieve the combination of the graphical and Controlled natural language approaches (CNL), we describe the possibility of adding CNL information into graphical OWL ontology editor OWLGrEd.

Original languageEnglish
Pages (from-to)17-30
Number of pages14
JournalFrontiers in Artificial Intelligence and Applications
Volume291
DOIs
Publication statusPublished - 2016

Keywords

  • Contextual verbalization
  • Controlled natural language
  • Ontology visualization
  • OWL

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