Flow Diagram

[ltc.h...@gmail.com]

Hi Everyone:

Please, review the attached flow diagram, let me know if the Topic Maps Engine (i.e., Mappa)  project is realistic?

Regards,

Hal

[Lars Heuer]

Hi Hal,

> Please, review the attached flow diagram, let me know if the Topic Maps Engine (i.e., Mappa) project is realistic?
>

I think it's possible, although you need a step between the data analyzer and
TM engine which either converts the data into a Topic Maps syntax (i.e. XTM 2.1)
or you have to use the API of the TM engine. IMO a converter (or at least something
which provides TM-ish view on the data of the data analyzer) is more flexible
than using an API since it makes you independent of the engine's specific API.

Regarding the graphical output: Acc. to my knowledge, no Topic Maps engine has
built-in support to generate graphical output; Ontopia [1] (project page [2])
provides a Java Applet, though.

[1] <http://www.ontopia.net/doc/current/vizigator/userguide.html>
[2] <https://github.com/ontopia/ontopia>

Best regards,
Lars

[ltc.h...@gmail.com]

Hi Lars,

Swap Mappa (TM Engine) in exchange for Ontopia, in the Diagram, because the 'input accepted by BokehJS is an object graph'?

Go to URL link at Bokeh for details on Bokeh input: http://bokeh.pydata.org/en/latest/docs/dev_guide/bindings.html

Does Ontopia exports an object graph for BokehJS to render?

Thanks,

Hal

[ltc.h...@gmail.com]

Hi Lars,

 

Can our group write a custom Python script code to convert Mappa output (Topic Map Engine) into object graph data?

Thanks,

Hal

[Lars Heuer]

Hi Hal,

> Can our group write a custom Python script code to convert Mappa output (Topic Map Engine) into object graph data?

Well, Mappa writes XTM (XML), CTM (syntax which is editable by humans easily)
and JTM (JSON). Either you convert any of the formats into the target format
or you can write your own serializers.

Mappa provides also a plugin system for (de-)serializers, the XTM
serializer [1] defines for example the following entry point:


entry_points="""
[mappa.writer]
xtm = mappaext.xtm
"""

The plugin-system isn't documented very well, but basically it expects
a unique name (xtm in this case) and the module where a function
"create_deserializer" could be found.

In case of questions, don't hesitate to contact me.

[1] <https://github.com/heuer/mappa/tree/master/mappa.xtm>

Best regards,
Lars

[ltc hotspot]

Hi Lars,

Is there a graphic analyzer that builds object graphs from a JSON library?

Regards,

Hal

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[Lars Heuer]

Hi Hal,

>
> Is there a graphic analyzer that builds object graphs from a JSON library?
>

No idea, sorry. Maybe you can utilize JSON Topic Maps (JTM).

JSON Topic Maps specifications:

* JTM 1.0: <http://www.cerny-online.com/jtm/1.0/>
* JTM 1.1: <http://www.cerny-online.com/jtm/1.1/>

Best regards,
Lars

[ltc hotspot]

Thanks,

Best regards,
Lars

[ltc hotspot]

Replace Mappa with JTM, pursuant to our group's diagram depiction?

[ltc hotspot]

Hi Lars,

We can use Mappa to post Meta text information on a  Google Map image from a Google Map.API?

Regards,

Hal

On Fri, Jun 26, 2015 at 12:36 AM, Lars Heuer <he...@semagia.com> wrote:

Best regards,
Lars

[ltc hotspot]

Hi Lars,

Can our team write a Python script (i.e., XML, XML, CTM, JSON) that originates from Panda and ports into Mappa a data stream in the format of the targeted graphic analyzer?

Regards,

Hal

On Fri, Jun 26, 2015 at 12:36 AM, Lars Heuer <he...@semagia.com> wrote:

Best regards,
Lars

[Lars Heuer]

Hi Hal,

> We can use Mappa to post Meta text information on a Google Map image from a Google Map.API?

I don't know. Out of the box this isn't possible.

Mappa knows how to handle topics (subjects like an individual human like "John Lennon")
and associations between these topics (John Lennon plays guitar for The Beatles).

It detects when two topics should merge since a Topic Maps constraint
for equality is matched and it can read, write and modify topic maps.

If you want to add the information, contained in the topic map, to a topographical
map (assuming your subject are topographical), you have to write a script which
does it.

Best regards,
Lars

[Lars Heuer]

Hi Hal,

> Can our team write a Python script (i.e., XML, XML, CTM, JSON) that originates from Panda and ports into Mappa a data stream in the format of the targeted graphic analyzer?

Mappa handles just Topic Maps and can read/write topic maps, Mappa
does not care how the data stream is created. You can push your data
directly into Mappa if you want; further you can iterate over the
topics and associations of the topic map to create any target format.

Best regards,
Lars

[ltc hotspot]

thanks

Best regards,
Lars

[ltc hotspot]

thanks

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[ltc hotspot]

Hi Lars,

What Python  web-framework do you recommend for Mappa ,i.e., Bottle, Jelastic, Flask, Django, Logentries, Data Science Toolkit, etc?

Leaning towards Data Science Tool, because the tool includes JSON.

What Bokeh interface do you recommend to move meta data from Mappa's to Bokeh?

Again, leaning towards the Models Interface, i.e., http://bokeh.pydata.org/en/latest/docs/reference/models.html

Regards,

Hal

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[Lars Heuer]

Hi Hal,

>
> What Python web-framework do you recommend for Mappa ,i.e., Bottle, Jelastic, Flask, Django, Logentries, Data Science Toolkit, etc?

I don't have a recommendation although I doubt that Django provides an
advance since it is tied to its own models and Mappa's models won't
show up in the administration view which is (IMO) the biggest
advance of Django in comparison to the other frameworks.


[…]

> Leaning towards Data Science Tool, because the tool includes JSON.
>
> What Bokeh interface do you recommend to move meta data from Mappa's to Bokeh?
>

No idea.

Best regards,
Lars

[ltc hotspot]

Thanks, what is the URL link to install Mappa and to run a few demos. I installed the frame work of Data Science Toolkit on an Azure VM.

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[Lars Heuer]

Hi Hal,

[…]

> what is the URL link to install Mappa

pip install Mappa

or

easy_install Mappa

> and to run a few demos.

<https://code.google.com/p/mappa/wiki/Quickstart>


Best regards,
Lars

[ltc hotspot]

thanks

Best regards,
Lars