TEXT2RDF 1.0

Extracts terms and phrases from text documents and annotates them with domain specific terminologies
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).

last updated on:
April 6th, 2012, 20:17 GMT
file size:
3.9 MB
price:
FREE!
developed by:
Nitesh Khilwani
license type:
GPL 
operating system(s):
Mac OS X
binary format:
-
category:
Home \ Utilities

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