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  • Name John O'Gorman
  • Location: Calgary, Canada
  • Occupation: Information Management Specialist
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Reusing Partial Brains
Thanks to both of you for posting...zenrain's solution worked best...please see the attached Test that shows identical GUIDs.

Much appreciated, thanks again.

John O'
Click image for larger version - Name: ABXBACT_GUID_test.jpg, Views: 67, Size: 162.62 KB
Reusing Partial Brains
I'm working on networked Brains where I need to control who uses which Thoughts...

Does anyone have any suggestions for Exporting Selections - via Brain XML - to help with this?

All I've been able to do so far is Export the whole thing.

Thanks.

PS. Copy as Text or Text Outlines isn't enough detail...I need to GUIDs, etc.
Search failure

Thanks for the reply, hsscrm. The only part I don't understand is the 'webbrain' part...I'm just using the Pro version on my desktop and having these problems. Does Matt have to fix all of these brains individually?   Partly in jest, but like you I can't use my Brain effectively if all of the search functions aren't working properly.

 

 

Search failure

On second thought (sorry) I'm going to restate my problem, because it seems to be related but maybe not. Apologies for the Friday fuzziness.

 

One of the features I liked from the beginning was the predictive typing when using the Search box on the lower left or when adding a new Thought. It gives me instant results in both cases and it keeps me from adding 'duplicate' strings by showing me that there are existing ones already in my vocabulary.

 

But sometimes it will NOT show me values that I know are in my collection. I can work around this now by hitting the Search button. But, and this is where I'm having a real problem, sometimes I don't get results in the Search pane either. I can find the value I need by locating something else that I know it is related to and selecting it from there, but as you may have guessed I've had to leave the Thought I wanted to associate something to in order to do this workaround.  Very frustrating.

 

Is this the problem people are talking about here?

Search failure

I'll second that. My Brain is using the instant search - and the predictive typing on the Add Thought function - as a data quality feature and my clients get very skeptical when it doesn't work as advertised.

 

 

Linking to existing thoughts without using the Plex

Hello fellow Brainiacs

 

I am hoping some smart soul can help me with this.

 

I am using The Brain as a controlled vocabulary, and when The Brain is new, I use the semi-colon trick to bulk load values. However, as my Brain gets older I want to make sure I am not duplicating thoughts I already have.

 

I am looking for a way to do the following:

 

Copy the GUID from an existing thought (I do this in Details)

Find a list of existing thoughts that I want to Link

Copy the GUIDs from that collection

Give The Brain a command that says: the GUID on the left side of a symbol has a relationship to the list on the right as: Children / Parents / Jumps

 

So '100-48-X-012'  (GUID 0D64AACD-08DC-3420-244E-58CBEE759C02) is C of '48' (GUID AD641ACD-27gG-3420-244E-20C0657DD43)

 

So, the actual string would be:

 

0D64AACD-08DC-3420-244E-58CBEE759C02 C AD641ACD-27gG-3420-244E-20C0657DD43

 

or you could make the statement the other way:

 

 AD641ACD-27gG-3420-244E-20C0657DD43 P 0D64AACD-08DC-3420-244E-58CBEE759C02

 

Has this been tried / done in The Brain community?

 

Thanks.

 

John O'

Select Related Thoughts not working as claimed or expected.
Hi Matt;

Kind of disappointing, to be honest. I realize you at Brain Central get a lot of traffic but this to me (and I suspect underdog as well) falls beyond the 'New Feature' bucket.  Like many other purely information-based features it probably won't hold a candle to the truly sexy propositions like iPad compatibility.

I wonder if there is a way to insert invisible commas in a document...,,,


Select Related Thoughts question
Hi Moe;

I am more than likely reading more into your last post than you intended, but instead of "search for every term in the document" maybe what SRT should do is run the individual terms through the document.  Sort of like putting search on autopilot and using the vocabulary to test the new doc for hits.
Select Related Thoughts not working as claimed or expected.
Dear Matt and Moe;

I strongly second Michael's points. I can live with the comma limitation for now, but as I am coming at this from the bi-directional angle (data first, then documents) my customer Really, really like the fact that they can click on what looks like a index hit and get instant context in either direction.

A use case: A client goes to the Person list and clicks on an employee name where they see a recent performance review. The Show Related Thoughts feature picks up the name of a project in the document that the employee worked on. The client can then click on the project name and see all of the information (People, Places, Organizations and other Digital Assets) associated with it. 

I've used Michael's "technique" to do this, but as I've said before it is such a cool feature that finding all of an enterprises's 'hits' inside a document would be really cool.

Thanks, and I will echo Michael's sentiment: I don't mean to be a pest, but as Steve Jobs said: What doesn't kill you makes your application better.
Bulk Loading New Associations Using Existing Thoughts
Here is zenrain's original response to my post on the other thread:
 
 
This is now possible in V6.

Right-click a thought and choose Copy Thought URL. Then go into another brain, and either right click the thought or in the attachment area and choose Paste Web Link.

To do this kind of thing one at a time would be too slow. What I want to be able to do is to feed the GUID values from the first stage (vocabulary creation) back into the spreadsheet or database where the orginal data is located) and 'build' new associations.

For example, if I load 'Portland' as a new value I get a GUID - for sake of illustration let's say it is 12345. Then I load 'Oregon' and get back a GUID  for that, say 78901. Now, in the spreadsheet I want to associate 12345 as a Jump of 78901. I may also want to establish Portland as a City (GUID 24680) and Oregon as a State (GUID 36925) along with thousands of other associations.

I'm looking for something like: 12345-J-78901 or 12345-P-24680. It would make doing the initial loads for Brains much, much easier. I could also create pre-loaded vocabularies to create multiple Brains using the same 'knowledge'.

Thanks for any suggestion.

BTW I am going to be looking for a Brain developer to help me put some of these ideas on the map, so to speak so if anyone knows someone in the community please let me know.
Bulk Loading New Associations Using Existing Thoughts
I posted this to another thread (Linking Multiple Brains) but I didn't want to hijack the original post with my follow-on questions, so have a read and I will post my nest question separately in this new thread.
 
When I load data (not files, but it could apply) initially into my Brain, I can harvest a single column of data and load it as Children of say an Organization parent. Each value gets its own GUID. Then I can move to a different column of data and load individual values into a different Parent. I do this using a macro in Excel (where the data is stored) that separates the values with a semi-colon so I can simply cut and paste into my Brain. This technique accomplishes a couple of things in my system: 

1. It establishes each value as an Instance (Child) of a Class (Parent). I know this may be antithetical to purists, but it works for me.

2. It gives each of the values a unique and permanent identifier.

What I would like to do next is to create an Association between these two (as a Jump, for example) using the GUIDs. I know about the comma trick, but one of my requirements is to be able to manage identical strings, so I couldn't for example say "Portland, Oregon" because I already have seventeen individual (and valid) "Portland" strings in my current Brain. 

What I would like to be able to do is use the GUID for a given 'Portland' and create any given relationship between it and any other GUID I choose.

I think as far as the 'linking of multiple Brains is concerned, common GUIDs between them and a common structure as Alchemist suggests - which Q6 Brain already has (*nudge, nudge*) would be a step in the right direction.

__________________
John O'

Linking Multiple Brains
This may be a related issue, but in case it's not (or if it's just not relevant) please let me know.

When I load data (not files, but it could apply) initially into my Brain, I can harvest a single column of data and load it as Children of say an Organization parent. Each value gets its own GUID. Then I can move to a different column of data and load individual values into a different Parent. I do this using a macro in Excel (where the data is stored) that separates the values with a semi-colon so I can simply cut and paste into my Brain. This technique accomplishes a couple of things in my system: 

1. It establishes each value as an Instance (Child) of a Class (Parent). I know this may be antithetical to purists, but it works for me.

2. It gives each of the values a unique and permanent identifier.

What I would like to do next is to create an Association between these two (as a Jump, for example) using the GUIDs. I know about the comma trick, but one of my requirements is to be able to manage identical strings, so I couldn't for example say "Portland, Oregon" because I already have seventeen individual (and valid) "Portland" strings in my current Brain. 

What I would like to be able to do is use the GUID for a given 'Portland' and create any given relationship between it and any other GUID I choose.

I think as far as the 'linking of multiple Brains is concerned, common GUIDs between them and a common structure as Alchemist suggests - which Q6 Brain already has (*nudge, nudge*) would be a step in the right direction.
Select Related Thoughts question
Ummm...I kind of gathered that, but in a purely data-driven Brain like mine that turns the File --- Tag thought architecture on its ear it should be the same.

Think about all the overhead you could save Brain EKP users if metadata, for example, was managed this way. In my POC Brain, I have 5.593 thoughts, all of which are Q6 classified vocabulary values. When I drop a document into the Plex, any values I choose as metadata have associations already attached just like in my Thank You Letter example. 

If I was in another part of the Brain, and I found a document whose related thoughts were not immediately visible, I can tunnel into any other part of the Brain in one click.
Select Related Thoughts question
Here is another way I look at it...

If I can do a search on "Sasquatch" and get a result set back that shows the Product and its occurence in the document, why would it not show up in a Related Thoughts method?


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"Splitting" Brains


Would you perchance like to see those 'separate' Brains connected in some way?

See the HiveBrain post in the EKP General forum...


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