brettkromkamp

Thanks. Any feedback, pointers to additional resources and so forth... it's all greatly appreciated.

You’re welcome. Been using topic maps since, at least, 2006. After all these years still my go-to data model for both knowledge and content management.

I’ll obviously Google it, but what is Tiddly? :)

I’ll take a look at the YouTube video you linked to. I hope to make Contextualise publicly available this week. Thanks for your feedback. It’s appreciated :)

Unfortunately my Docker know-how is severely lacking. I’m hoping that someone will help out with Docker support. In the meantime, I will try to get up to speed with Docker to be able to fix the current Docker setup.

When installing Contextualise, please install TopicDB (the topic maps engine on top of which Contextualise is built) directly from GitHub. Instructions to install Contextualise and TopicDB are provided, here: https://github.com/brettkromkamp/contextualise#install-the-d...

I need to think a bit more about what you are saying. This is a very interesting point of view. Can I come back to you on this?

No, I don't think you have missed anything from the overview. Yes, you're right... the process to construct and maintain the knowledge graph is not part of the application. In that respect, I have been considering several related features to help the user with that process: 1) topic map templates that allow for very quick creation of a predefined taxonomy and 2) machine-learning for auto-tagging and recommendations for associations.

Although the above features do not make for the complete process you are referring to, at least they assist users as part of that process.

Food for thought.

You’re welcome :) It’s my intention to make Contextualise publicly available (free of charge) within the next week or two. I’ll announce it on the project’s GitHub page.

I have been thinking about incorporating initial AI/machine learning support in Contextualise including auto-tagging and relationship (associations) recommendations.

Any contribution to Contextualise would be greatly appreciated ;)

Thanks for your feedback. Genuinely appreciated. I’ll take a look takesmartnotes.com.

Thanks for the tip. I’ll check it out.

Really like the idea of a version-controlled text-based graph format. I’ll definitely take a look at the GitHub repo. Thanks for your feedback.

Could you elaborate a bit on this. Sounds like an interesting take.

Thanks for the tip. I'll take a look. What I am trying to accomplish with Contextualise is a straight-forward UI on top of a powerful, but still conceptually simple data model (topic maps).

I use my own tool that I developed specifically for the purpose of note-taking combined with knowledge management. The tool, called Contextualise, is open source: https://github.com/brettkromkamp/contextualise

At some point I will make the application publicly available. Let me know if you need help installing it in the meantime.

Yes, I use my own topics map-based solution, Contextualise: https://brettkromkamp.com/projects/contextualise/. In simple terms, you create topics, attach resources (e.g., PDFs, markdown text and notes, images, etc.) to those topics and establish semantically meaningful relationships between the topics. The resulting map of topics can be navigated by means of a visual network graph. Contextualise is a MIT-licensed open source project.

A visualisation of a small set of topics looks like this in Contextualise: https://github.com/brettkromkamp/typed-tree

What's more: Contextualise's network graph visualisation is interactive in that it allows the user to navigate between topics of interest by clicking on the actual node that they want to navigate to.

I'm building a personal knowledge management application based on topic maps that allow for (semantic) mapping of knowledge domains together with (network) graph visualisations: https://github.com/brettkromkamp/contextualise

I'm probably still a couple of months away from completing the application, so if you need something straight away this would be of no use to you. But, topic mapping in general is something that could be of use to you in this context: https://docs.microsoft.com/en-us/previous-versions/aa480048(...

I’ve implemented my own personal web-based knowledge management system based on topic maps: https://docs.microsoft.com/en-us/previous-versions/aa480048(...

I personally use it for world-building for storytelling purposes and general knowledge management for subjects including game development and 3D/CGI.

If you want more info, let me know (brettkromkamp at gmail dot com).

I presume this is the URL: https://realpython.com/python-itertools/

Blender for modeling, animation, etc. And Unreal Engine for game development and real-time visualization.

Topic maps for the win :) I have developed a topic map-based note taking (and knowledge management) application for my own use. A good explanation of topic maps is at Microsoft Developer Network: https://msdn.microsoft.com/en-us/library/aa480048.aspx

WebGL has its share of issues but Unity's WebGL support is probably not great either. I have successfully implemented complex WebGL-based applications with https://www.blend4web.com/en/ Other WebGL solutions like https://playcanvas.com/ and https://www.soft8soft.com/ seem to be promising, as well.

Blender. It is probably one of the most versatile 3D suites available.

Clojure. Almost infinitely extensible.

Blender (https://www.blender.org) for native 3D modeling.

Like it a lot, guys. You got my up-vote :)