Semantic tagging with linked open data

John Cuzzola, Zoran Jeremic, Ebrahim Bagheri, Dragan Gasevic, Jelena Jovanovic, Reza Bashash

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

2 Citations (Scopus)


Making sense of text is a challenge for computers particularly with the ambiguity associated with language. Various annotators continue to be developed using a variety of techniques in order to provide context to text. In this paper, we describe Denote-our annotator that uses a structured ontology, machine learning, and statistical analysis to perform tagging and topic discovery. A short screencast for the curious is also available at as well as demonstration links provided in the conclusion.

Original languageEnglish
Title of host publication4th Canadian Semantic Web Symposium
PublisherRheinisch-Westfaelische Technische Hochschule Aachen
Number of pages2
Publication statusPublished - 2013
Externally publishedYes


  • Annotators
  • Disambiguation
  • Entity recognition
  • Linked-data
  • LOD
  • Semantic web
  • Tagging
  • Wikifying

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