Towards Controlled Natural Language for Semantic Annotation

  • Authors:

  • Brian Davis;Pradeep Dantuluri;Siegfried Handschuh;Hamish Cunningham

  • Affiliations:

  • Digital Enterprise Research Institute, National University of Ireland, Ireland;Digital Enterprise Research Institute, National University of Ireland, Ireland;Digital Enterprise Research Institute, National University of Ireland, Ireland;University of Sheffield, UK

  • Venue:
  • International Journal on Semantic Web & Information Systems
  • Year:
  • 2010

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Abstract

Richly interlinked metadata constitute the foundation of the Semantic Web. Manual semantic annotation is a labor intensive task requiring training in formal ontological descriptions for the otherwise non-expert user. Although automatic annotation tools attempt to ease this knowledge acquisition barrier, their development often requires access to specialists in Natural Language Processing NLP. This challenges researchers to develop user-friendly annotation environments. Controlled Natural Languages CNLs offer an incentive to the novice user to annotate, while simultaneously authoring his/her respective documents in a user-friendly manner. CNLs have been successfully applied to ontology authoring, but little research has focused on their application to semantic annotation. This paper describes two novel approaches to semantic annotation, which permit non-expert users to simultaneously author and annotate meeting minutes using CNL. Finally, this work provides empirical evidence that for certain scenarios applying CNLs for semantic annotation can be more user friendly than a standard manual semantic annotation tool.