Publications

Semantic Tagging with Linked Open Data

John Cuzzola and Zoran Jeremic and Ebrahim Bagheri and Dragan Gasevic and Jelena Jovanovic and Reza Bashash
Reference:
John Cuzzola; Zoran Jeremic; Ebrahim Bagheri; Dragan Gasevic; Jelena Jovanovic and Reza Bashash Semantic Tagging with Linked Open Data. In Canadian Semantic Web Symposium, 2013.
Links to Publication:
Abstract:
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 http://youtu.be/espItTRQVzY as well as demonstration links provided in the conclusion.
Bibtex Entry:
@inproceedings{DBLP:conf/CSWC/CuzzolaBG13, author = {John Cuzzola and Zoran Jeremic and Ebrahim Bagheri and Dragan Gasevic and Jelena Jovanovic and Reza Bashash}, title = {Semantic Tagging with Linked Open Data}, booktitle = {Canadian Semantic Web Symposium}, year = {2013}, abstract = {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 http://youtu.be/espItTRQVzY as well as demonstration links provided in the conclusion.} }




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