On Sat, Mar 5, 2022 at 3:08 PM Ivan V. <ivan.mo...@gmail.com> wrote: > > The logical step would be to prepare a CogServer instance filled with > those millions of atoms, keep it always running, and then query only what > is of the current interest to forward it to a browser. >
Yes, exactly. > Anyway, who would browse over millions of atoms all at once? One might > only be interested in some subset of it, and if that subset can be measured > in thousands of atoms, > Or even just hundreds. Or dozens. > Do you have any basic glimpse of a kind of visualization you'd like to > have? And what user interactions would pair it to be successful? > That's the hard question. It's hard to find good answers. I need your help finding good answers. Here are some ideas. For example, given one word, find all the other words "related" to it. Order the list by the strength-of-relationship (and maybe show only the top-20). There are various different ways of defining "relatedness". One is to ask for all words that occur nearby, in "typical" text. So, for example, if you ask about "bicycle", you might get back "bicycle wheel", "bicycle seat", "ride bicycle", "own bicycle". Another might be to ask for "similar" words, you might get back "car", "horse", "bus", "motorcycle". A third query would return skip-gram-like "disjuncts", of the form "ride * bicycle to *" or "* was on * bicycle" or "* travelled by bicycle * on foot" -- stuff like that. These are all fairly low-level relationships between words, and are the kind of datasets I have right now, today. My long-term goal, vision is to create a complex sophisticated network of information. Given that network, how can it be visualized, how can it be queried? A classic answer would be a school-child homework assignment: "write 5 sentences about bicycles". This would be a random walk through the knowledge network, converting that random walk into grammatically correct sentences (we're talking about how to do this in link-grammar, in a different email thread. It's hard.) Is there a way of visualizing this kind of random walk? Showing the local graph of things related to bicycles? So the meta-problem is: given a network of knowledge, how does one interact with it? How does one visualize it? How does one make it do things? If I pluck the word "bicycle" like a guitar string, how can I hear, see the vibrations of the network? -- Linas -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to opencog+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/CAHrUA37FQRCq0Sj_iiJ5bch-D6Fi4VOkrLS_SMcFy3q_B6DMqw%40mail.gmail.com.
