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In Cache'/Ensemble, by specifying the objectsPackage parameter, dictionaries (and other objects) get projected to tables that can be accessed by SQL queries.

But in IRIS (IRIS for UNIX (Ubuntu Server LTS for x86-64 Containers) 2019.1 (Build 507U) Mon Feb 25 2019 13:47:16 EST), when I created a dictionary with ##class(%iKnow.Matching.DictionaryAPI).CreateDictionary(), it does not get projected to a table.

The class APIs correctly retrieve information about this dictionary.

Am I missing something with IRIS, or is there any issues about this?

Last comment 15 April 2019
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The InterSystems DBMS has a built-in technology for working with non-structured data called iKnow and a full-text search technology called iFind. We decided to take a dive into both and make something useful. As the result, we have DocSearch — a web application for searching in InterSystems documentation using iKnow and iFind.

Last comment 1 April 2019
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Hi Community!

New video "Treating Patients with REST and iKnow" is available now on  DC YouTube Channel:

 

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I have iKnow domain of forum posts, their full text is an iKnow data, and each post also has a number of views as a metadata field.

I want to get a sum of views by concept. Let's say I have a concept called "TESTEST" and there are 10 sources that have this concept. Each source has some views. I want to get views total - impact of this concept so to say.

What's the best iKnow architecture for this use case?

So far I got this:

Last answer 18 June 2018
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Hi Everyone!

Enjoy a new video on DC YouTube Channel:

Saving Lives and Livelihoods With iKnow

 

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I am trying to create an iKnow domain programmatically like:

    Set dom = ##class(%iKnow.Domain).%New("TestDom")
    Do  dom.SetParameter("DefaultConfig", "MyConfiguration")
    Set sc = dom.%Save()

   ...

Although "MyConfiguration" sets the language to "ja", i.e. Japanese, it doesn't seem to be respected, and what I see on the top right pane in Knowledge Portal is related concepts, instead of proximity profiles, which I expect to see  in Japanese language mode.

Also resulting segmentation of sentences looks to be it is in English mode.

Last answer 27 March 2018 Last comment 27 March 2018
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Hi, Community! 

 Check a new session recording from Global Summit 2017:

iKnow What You'll Do Next Summer

 

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This summer the Database Platforms department here at InterSystems tried out a new approach to our internship program.  We hired 10 bright students from some of the top colleges in the US and gave them the autonomy to create their own projects which would show off some of the new features of the InterSystems IRIS Data Platform.  The team consisting of Ruchi Asthana, Nathaniel Brennan, and Zhe “Lily” Wang used this opportunity to develop a smart review analysis engine, which they named Lumière.   As they explain:

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Hi, 

Has anyone ever estimated the amount of disk space consumed by the iKnow indexing process ?  I know this will be a rough estimate, but, I imagine that for sizing purposes, that would be enough.

The language the unstructured text is in is English.

thanks in advance - 

Steve

Last answer 19 September 2017 Last comment 20 September 2017
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InterSystems' iKnow technology allows you to identify the concepts in natural language texts and the relations that link them together. As that's still a fairly abstract definition, we produced this video to explain what that means in more detail. But when meeting with customers, what really counts is a compelling demonstration, on data that makes sense to them, so they understand the value in identifying these concepts over classic top-down approaches. That's why it's probably worth spending a few articles on some of the demo apps and tools we've built to work with iKnow. 

In the first article in this series, we'll start with the Knowledge Portal, a simple query interface to explore the contents of your domain.

Last comment 18 July 2017
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Hi, Community!

Enjoy the video of the week about InterSystems iKnow Technology:

A Cure for Clinician Frustration

 

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If you've worked with iKnow domain definitions, you know they allow you to easily define multiple data locations iKnow needs to fetch its data from when building a domain. If you've worked with DeepSee cube definitions, you'll know how they tie your cube to a source table and allow you to not just build your cube, but also synchronize it, only updating the facts that actually changed since the last time you built or synced the cube. As iKnow also supports loading from non-table data sources like files, globals and RSS feeds, the same tight synchronization link doesn't come out of the box. In this article, we'll explore two approaches for modelling DeepSee-like synchronization from table data locations using callbacks and other features of the iKnow domain definition infrastructure.

Last comment 19 April 2017
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After a five-part series on sample iKnow applications (parts 1, 2, 3, 4, 5), let's turn to a new feature coming up in 2017.1: the iKnow REST APIs, allowing you to develop rich web and mobile applications. Where iKnow's core COS APIs already had 1:1 projections in SQL and SOAP, we're now making them available through a RESTful service as well, in which we're trying to offer more functionality and richer results with fewer buttons and less method calls. This article will take you through the API in detail, explaining the basic principles we used when defining them and exploring the most important ones to get started.

Last comment 28 March 2017
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This earlier article already announced the new iKnow REST APIs that are included in the 2017.1 release, but since then we've added extensive documentation for those APIs through the OpenAPI Specification (aka Swagger), which you'll find in the current 2017.1 release candidate. Without wanting to repeat much detail on how the APIs are organised, this article will show you how you can consult that elaborate documentation easily with Swagger-UI, an open source utility that reads OpenAPI specs and uses it to generate a very helpful GUI on top of your API.

Last comment 28 March 2017
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