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