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).
Requirements:
· Java 1.5 or later
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