iKnow

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I'm in a process of acquiring a corpus  of documents on educational courses. 

For example there is an educational course called "OOP" and it can have documents from 2008, 2009, ... 2016 etc.
And there are a lot of these courses, each one with programs from different years (hopefully)

So 1 document is 1 programm of one course for one year.

I want to calculate how much does a course changes per year.

Last answer 22 December 2016 Last comment 10 January 2017
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Hello! 

My group and I are currently doing a research project on natural language processing and iKnow plays a big role in this project.  I am aware that the algorithms iKnow use aren't public, and I respect that.

My question is, are there any public documents/research that explains, at least part of, the algorthims iKnow uses and the motivations for using them?  

Last answer 5 January 2017 Last comment 14 March 2016
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I have a class which, in the previous instance, was able to extract metadata field names and data from a text file, and load this information into a domain. I am trying to run this in the field test instance, but it is not loading the metadata - only the field names. I am not getting an error, but the data is not loaded.

The few changes I made to the original class:

Previously, this class also ran iTables. I commented all that code out.

To create the domain, I replaced the line:

Last answer 8 May 2016
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Hello,

I am experimenting with the iKnow Domain Architect in the 2016.2 field test.

I would like to know if it is possible to load metadata from text files. This was possible in previous versions, using the Loading Wizard.

I have checked the documentation and I do not see any explanation for loading metadata held in text files. Thank you!

Last answer 29 March 2016
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Hello! 

We use iKnow's GetSimilar for decision making. Right now we have a domain with both good and bad documents and using GetSimilar we want to see if a document is more similar to the good ones or the bad ones. To do this we simply compare the weighted average of the score from the good ones and the bad ones that GetSimilar returns.  

The problem is that GetSimilar doesn't always return the score to all other documents. Assuming we have 50 documents I would expect the following result:

Last answer 29 March 2016
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