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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:

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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?

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Hello!

I'm trying to make a simple hello world program for iKnow but the documentation only shows examples using the scripting language or XML XData.

The domain is already created and configured, what I hope for is to be able to work with the data in some high-level language.

Is it possible to do something like this:


int domainId = 1;
IKnow iknow = new IKnow( domainId );
List concepts = iknow.getTopConcepts();

Any feedback will be greatly appreciated!

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Question
· Feb 26, 2016
No Namespaces found

Hello!

I'm trying to use iKnow but I get the following error "No iKnow-enabled namespaces found" in the Management Portal.

It was working on the 2015.2.2 version but now on 2016.2.0 it doesn't. I very new to Caché and iKnow so it's probably a simple problem.

I was able to create a iKnow domain using the terminal and I can view it in the learning portal (http://localhost:57772/csp/sys/exp/_iKnow.UI.IndexingResults.zen).

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