Відео

It was a moment of serendipity to find this channel which then introduced me to other moments while discovering the world of knowledge graphs! I have sent the details of this story to your inbox as a reply to the latest newsletter about serendipity sent on the 3rd of August.

Yes! Thank you. This is what I have experienced as well. I am experimenting with TiddlyMap as a personal knowledge graph.

Fantastic talk thank you.

I might be out of topic, or have a complete misunderstanding of the subject at hand, however this is my experience regarding PKM. I've dabbled with PKM for my day to day work, as well as tasks, knowledge and lessons gained from topics I've either discussed in depth, or experienced, that I should hold to a higher standard than simply trying to internalize & "forget." I try to use a sort of primitive PKB to hold all of these topics. However, it seems like, at least in the tool I use, which is Joplin, there's friction in the way of trying to "tag" these notes smartly. I can categorize them in a general sense, e.g. these notes are for "work", these ones are for "family" etc. however any further association is tough to do; The biggest problem I've faced is "how fine-grained should I tag my notes according to their contents"? It's tough for me to answer this; I don't have any professional experience in this area for organizational KM or societal KM. It's also alot of work, because if all you want to take are notes/excerpts from a source you're reading and you have to tag them & ask yourself multiple times the question of "to what degree" should you be tagging the note itself, this becomes bothersome and probably prohibitely expensive regarding "time taken", depending on the length of the note of course. Tagging'll still be a fraction of the time it took myself to write the note initially, however I cannot see the benefits because whenever I've tried to use these tags somehow, e.g. either by filtering by tag to get back to something old, I've found that oftentimes I've most likely not tagged it "correctly" for my question at the time. What I want to get at is this: knowledge is as useful as the metadata that describes the knowledge itself. This is especially true the bigger the data gets; it is prohibitively expensive in terms of time and money to do this manually, especially for PKM since you're not dealing with "business data" often that are well defined and categorized. My couple of questions is this: do you have a practical scenario that PKM could be used in day to day life for regular people (not work necessarily)? Do you think the "tagging" issue I aforementioned, assuming it is valid and fair, will be one that'll be solved with LLMs eventually, or a simpler but just as good narrow AI? EDIT: it's worthwhile to note that, as you mentioned, the traversibility of the graph is important, however I'd like to add presentation as a second point, if we're able to make any sense of a given topic. Given that our interests, and perhaps our personal notes and not professional ones, wide and shallow instead of narrow and deep, this might even make it borderline impossible to use a "sane" (perhaps static) schema to usefully define our notes, if we're to use such a PKB to query such a huge variety of topics whose nodes might be partially interconnected.

The Personal Knowledge Graph book is now available for pre-order. Check out personalknowledgegraphs.com Kindle version first, then other formats and stores.

Hello Ivo. I watched your talk at The Knowledge Graph Conference 2023 online. I wanted to know if you see research papers being represented by PKGs in the future.

Thank you for sharing this! I am not sure whether you might see my comment but I had questions: How does this help you in your personal knowledge management process? I generally link with my own created nodes, but having external nodes that I don't know about them seems to be blocking my thought process.

Frankly, it looks very confusing.

Ted Nelson's spirit was here. This is "mother of all demos" for me. thanx so much. Brilliant. You have perfectly summarized the concepts and relationships that those working in the field have difficulty in explaining. And doing this with the benefit proposition of this field increased its effect even more.

Wanted to learn about knowledge graphs and this presentation was so theoretical about the underpinnings of a knowledge graph I found it useless in helping me discovering a tool and getting a sense of how it would work.

Absolutely loved your articulation and conceptualization of the space Ivo! thank you for cutting through the noise :)

Really enjoying this Ivo. Thanks for sharing!

What is the tool that you used for the "meeting" demo ? Is it roamresearch ?

The audio does not work here.

Great talk Ivo! The principles around personal knowledge graph are really nice and sexy. Beyond the tech barriers, I can see that the current business models in the Internet are based on intensively mining and exploiting the personal data of people. So, we need those business models become obsoletes, I mean, new ones will emerge to make the change to wave 3 possible. I can imagine this will happen when this wave of big data will pass away and the industry focus more in the value of small data. Big data is good but not anyone needs to have big data to succeed in business. Helpfully, the change is already started

And a link to "Solid": solidproject.org/

For those looking for the UA-cam link mentioned at around 23:00 - ua-cam.com/video/F1HYaGfqzLM/v-deo.html

Very interesting. Could a higher resolution video be uploaded? The text was too low quality to read

Thank you for the presentation. I hope your vision about PKGs will became reality!

Amazing talk. I would love to see more of your ontology system in action. Thanks!

Ivo! Fantastic presentation. I was blown away by your ontology demo :)

Excellent!

Very good and pragmatic solution! Thank you Ivo.

Thanks for an insightful talk!

Thank you, Ivo! Valuable experience is in the slides here. I’ll reproduce couple of them related to trust and autopoesis in my presentation if you don’t mind. Anyway it will be in Russian, and I’m going to mention your name as author. Thanks