[om-list] Evernote Alternative?

[Luke A. Call]

It's good to hear from you Tom and I hope life is good there.  I hope Mark Butler is very well also.

My vision of OM is expressed at the web site, but I hope not to be a blocker to anyone who wants to use whatever is there to benefit any good aim.  Maybe one summary is to be like a wikipedia, with more local control, more efficient, and an internal structure that allows more efficent/effective use of *knowledge* at an atomic level rather than huge piles of hard-to-compute words.  For "big data" which I (partly/naively?) think of as finding important needles in large haystacks (& maybe training algorithms to do the same), they don't strike any chords together for me so far.  Another view is how to capture/manipulate/share the *best* info on any subject (where anyone has their own definition of best), and *best* to manage everything I know or wish to know personally.

And right now it needs/has a database and a client, but the concepts are more important to me than the specific implementation (as discussed in the FAQs about what an acceptable system would look like).

I think personally I need to be less theoretical and more adding features I have already planned for a long time but not yet completed, like easier installation, mobile, and ~ "sharing".  Various factors at play....  Then maybe someone else can add the important theories to know, as part of the maturity models, to be ready to consume when I need that. :)

Let me know if I skipped a question, or anything.

-- 
Luke Call
Things I want to say to many (a lightly-loading site):
http://lukecall.net  (updated 2019-07-01)

On 07-03 10:33, Thomas Packer wrote:
> Sorry I haven't been involved in OM since the very earliest of days.  I
> think it (at least my vision for it) anticipated the current enthusiasm for
> graph databases like Neo4j, which I am now learning how to use, and Open
> Linked Data, RDF Triple-Stores, ontologies, etc.
> 
> Questions for you guys.
> 
> Is the new OM intended to be more of a front-end app or a back-end data
> solution?  Or both?  (Doing both will be harder to scale than focusing on
> one.)
> 
> Regarding the focus on Scala and Rust, is this a big data engineering
> challenge or a data science project?  I have used C, C++, C#, Java, and
> Scala, in past work, but now I try to focus on conversational AI (chatbots)
> and hope to figure out a very flexible backend knowledge base that makes
> knowledge acquisition, question-answering, and reasoning more scalable.  I
> use python almost exclusively now, which is becoming a de facto standard
> language for data science, partially because of the wealth of data science
> libraries available.
> 
> Thanks for keeping the project alive, Luke. :-)
>