TEXT2RDF

Extracts terms and phrases from text documents and annotates them with domain specific terminologies
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TEXT2RDF Ranking & Summary

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  • Rating:
  • License:
  • GPL
  • Publisher Name:
  • Nitesh Khilwani
  • Publisher web site:
  • http://kmm.lboro.ac.uk/people/NiteshKhilwani/
  • Operating Systems:
  • Mac OS X
  • File Size:
  • 3.9 MB

TEXT2RDF Tags


TEXT2RDF Description

TEXT2RDF is a free and open-source text mining software developed to glean information from documents and convert them into a semantic web resource using RDF and RDF Schema. The terms and keywords extracted from the web documents are hyperlinked with domain specific information, available as a business directory, glossary, dictionary, etc. TEXT2RDF used the Stanford NLP Parser is used for POS tagging. It is a probabilistic parser with an unlexicalized PCFG (Probabilistic Context Free Grammars) parsing method based on the factored product model.TEXT2RDF is a cross-platform utility capable of running on any operating system that comes with Java support (e.g. Mac OS X, Windows, Linux).


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