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amir
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 Posted: Sat Sep 27, 2008 5:08 pm Post subject: Natural Language Text Knowledge Engineering |
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I am studying on Managing the Knowledge of Domain Experts in a field.
I think it is about Extracting the knowledge from the Natural Language
Refrences and Domain Experts and find inconsistency points and suggest
resolution to Domain Expert users to finalize resolution and republish
the knowledge to the Knowledge Users.
Any help will be appreciated, |
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Brian Martin
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| Posted: Sun Sep 28, 2008 6:22 pm Post subject: Re: Natural Language Text Knowledge Engineering |
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Yes.
amir wrote:
| Quote: | I am studying on Managing the Knowledge of Domain Experts in a field.
I think it is about Extracting the knowledge from the Natural Language
Refrences and Domain Experts and find inconsistency points and suggest
resolution to Domain Expert users to finalize resolution and republish
the knowledge to the Knowledge Users.
Any help will be appreciated, |
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amir
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| Posted: Mon Sep 29, 2008 7:25 am Post subject: Re: Natural Language Text Knowledge Engineering |
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On Sep 28, 4:22 pm, Brian Martin
<brianNOS...@futuresoftware.com.auNOSPAM> wrote:
| Quote: | Yes.
amir wrote:
I am studying on Managing the Knowledge of Domain Experts in a field.
I think it is about Extracting the knowledge from the Natural Language
Refrences and Domain Experts and find inconsistency points and suggest
resolution to Domain Expert users to finalize resolution and republish
the knowledge to the Knowledge Users.
Any help will be appreciated,- Hide quoted text -
- Show quoted text -
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What is your idea about, how to do it in detail?
Some examples or references may be helpful, I think. |
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Brian Martin
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| Posted: Thu Oct 02, 2008 6:55 pm Post subject: Re: Natural Language Text Knowledge Engineering |
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Sorry Amir, I was somewhat baffled by your question.
I think you would have to first build a knowledge model (semantic model)
to represent the accumulated knowledge. Then you add some means for
the domain experts to input that knowledge, and a means for the
knowledge base to be queried, and a means for it to be presented.
Basically that kind of problem is centred around semantic representation
models, with syntax & parsing etc more involved in the input & output of
that knowledge.
Hope that helps. Of course others may have different suggestions.
| Quote: | amir wrote:
I am studying on Managing the Knowledge of Domain Experts in a field.
I think it is about Extracting the knowledge from the Natural Language
Refrences and Domain Experts and find inconsistency points and suggest
resolution to Domain Expert users to finalize resolution and republish
the knowledge to the Knowledge Users.
Any help will be appreciated,- Hide quoted text -
- Show quoted text -
What is your idea about, how to do it in detail?
Some examples or references may be helpful, I think. |
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| Back to top |
amir
Guest
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| Posted: Sun Oct 05, 2008 11:13 am Post subject: Re: Natural Language Text Knowledge Engineering |
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On 2 ǘÊÜ, 16:55, Brian Martin
<brianNOS...@futuresoftware.com.auNOSPAM> wrote:
| Quote: | Sorry Amir, I was somewhat baffled by your question.
I think you would have to first build a knowledge model (semantic model)
to represent the accumulated knowledge. Then you add some means for
the domain experts to input that knowledge, and a means for the
knowledge base to be queried, and a means for it to be presented.
Basically that kind of problem is centred around semantic representation
models, with syntax & parsing etc more involved in the input & output of
that knowledge.
Hope that helps. Of course others may have different suggestions.
My problem at first is the huge knowledge and I don't know exactly how |
to represent it.
I am going to extract syntactic objects and relations and extract
concept but I don't have clear ideas how to do it?
The second problem is about same concepts with different
representation in the output and how to uniform it?
Another is about how to find inconsistencies?
Also, how to suggest or automatic resolve inconsistencies if possible.
Thanks |
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