To the best of my knowledge; I have not found any tool that will represent knowledge automatically. The knowledge representation tasks should be done by the knowledge engineers. Although, the use of expert system shells such as exsys corvid, xpert rule, visual rule studio, etc  and tools such as MATLAB Fuzzy logic toolbox give knowledge representation a higher level of abstraction, but some understanding of how the knowledge is represented would be necessary. 

Dear Desul, if you specify further your question as which type of machine readable format you are interested. I mean expert knowledge can be converted into many formats which you are looking for so that we better guide you.

Dear Desul

see this link

http://www.researchgate.net/file.PostFileLoader.html?id=5656c28d60614b4a0e8b4593&assetKey=AS%3A299955936874507%401448526476732

Dear Desul,

Many knowledge-aquisition tools have been developed to help capture some of the expert knowledge that is appropriate to render into machine readable format. This is the basis for the development of expert systems. Integration of information bases has helped with providing more knowledge to these expert systems. Automating the process of knowledge acquisition is difficult because of the need for the knowledge thus obtained to fit into the appropriated places in the underlying existing ontology or collection of ontologies.

Even more challenging, experts cannot communicate all that they know for various reasons. R. Ali has posed a related question, "What is the interface between Tacit and Explicit knowledge?" in ResearchGate. I refer you to this discussion. 

Tacit knowledge, by definition is hard, if not impossible, to encode in knowledge bases.

Good luck with this effort.

Marion

thanks for sharing your valuable suggestion 

See my books:

Designing Knowledge-Based Systems (1986), ISBN 0-13-201823-3, Published by Prentice-Hall, and Kogan Page Ltd

Drawing Programs: The Theory and Practice of Schematic Functional Programming (2010), ISBN 978-1-84882-617-5 pub by Springer

Further reading:

Natural and Artificial Reasoning: An Exploration of Modelling Human Thinking (2014), ISBN 978-3-319-11285-2, Pub by Springer

Desul,

Protégé is one tool that can convert a concept hierarchy built by an expert into a machine readable format you specified (RDF or OWL). The resulting ontology (assuming it will be some type of ontology based on the output format you requested) can be used to tag content or enforce business rules in a system.

There are also many other tools available here: http://wiki.opensemanticframework.org/index.php/Ontology_Tools

But, Protégé is relatively easy and popular.

Hi there,

what you are looking for is called "ontology learning" and it's the process of (semi)automatically building an ontology from textual resources. There are several tools that analyse natural language text and try to extract an ontology (plus instances) from that, although this is still an active research field and there are still many open research issues left.

Hello Efstratios,

Thank you for bringing up this interesting topic of research. One challenge in this area is how to integrate ontologies derived from texts based on very different upper ontologies. The more different the upper ontologies, and/or the higher in generality the differences go, the higher the probability of a mismatch in the ontology and the higher the probability that one or more lower ontologies will either result in the wrong location or other mismatches will occur. This is one major obstacle to automation and is the reason that ontology learning remains semi automatic.

Another challenge is, in addition to the hierarchy (theoretical) mismatches, there is the issue of multiple formats (practical), which Muhammad has mentioned.

Protege is great once you have the concept hierarchy but getting to the point where the concepts will fit into your existing ontology consistently could require knowledge-engineering input.

Mala Mehrotra of Synergetics Research has developed a tool called MVP-CA which was helpful with identifying problems in ontologies and knowledge bases. I am not sure of the status of this tool, whether it is commercially available, but it was used in the DARPA Rapid Knowledge Formation program. 

Desul, are these the kinds of tools that interest you? Are we on the right track?

Dear Marion G Ceruti ·

Thanks for sharing your valuable thought.  Yes, I am interested to bring one of these kind of tools..so please help me if your already done...