There are a bunch of surveys of ontology learning from text, including

http://wortschatz.uni-leipzig.de/~cbiemann/pub/2005/BiemannLDVOntology05.pdf

http://userpages.uni-koblenz.de/~staab/Research/Publications/2009/handbookEdition2/ontology-learning-handbook2.pdf

http://www.amazon.com/Ontology-Learning-Population-Text-Applications/dp/1441940324

Albeit, while you might succeed in learning ontology-like structures automatically they will probably not look like ontologies one would create by hand.

There are a bunch of surveys of ontology learning from text, including

http://wortschatz.uni-leipzig.de/~cbiemann/pub/2005/BiemannLDVOntology05.pdf

http://userpages.uni-koblenz.de/~staab/Research/Publications/2009/handbookEdition2/ontology-learning-handbook2.pdf

http://www.amazon.com/Ontology-Learning-Population-Text-Applications/dp/1441940324

Albeit, while you might succeed in learning ontology-like structures automatically they will probably not look like ontologies one would create by hand.

Hi, 

During the last decade several approaches for automatic ontology construction from textual resources (reference documents) have been proposed. Such as

OntoLearn –TermExtractor,WCL System[Navigli et al., 2003, Velardi et al., 2007],

Alvis [Nedellec, 2006],

Text2Onto –Text2Onto[Cimiano and Volker, 2005], and

SPRAT –SPRAT[Maynard et al., 2009a, Maynard et al., 2009b]

The attached paper provides a detailed comparison of the aforementioned

approaches and related tools for automating ontology construction process from textual resources.

Best regards,

hi,

in addition, if you like coding and the source document is already well formatted, you can write your own program that parse the text document and generate an ontology as rich (in terms of axioms) as needed. According to the preferred programming language you can use various libraries/frameworks (e.g. Jena for Java, Redland for C, etc.).

kind regards

CMU has an interesting project, "Read the Web", http://rtw.ml.cmu.edu/rtw/ , that collects instances for an ontology automatically (which is different that what you asked, constructing the ontology automatically).

Please, you could read this work, may be it helps you. :

https://www.researchgate.net/publication/29650100_Text-based_ontology_construction_using_relational_concept_analysis

Article Text-based ontology construction using relational concept analysis

hi, you could take a look at this link http://www.ontotext.com/ which offers products for creating ontologies

Regarding the last answer, I have been using OntoText products and they are extremely easy to use and quite efficient as well.

Yes, ontotext is complete range of semantic technology products and also user friendly but it is not an open source.  For the researchers, it is always advisable to use open source, where researcher can embed his own inputs/idea. Own coding with various libraries/ frameworks as suggested by Dr. Walter Terkaj is preferential.

I suggest you to try with microtheories, Ontotext and other tools can generate ambiguity when they are compared with others ontologies.

You can use domain specific corpus and build ontologies using classification techniques

Deep learning can help

Abbishek, you can use Ontotext, but the ontologies are no perfect.