There's actually a pretty big project called DBpedia which is basically a graph db version of Wikipedia: https://en.m.wikipedia.org/wiki/DBpedia
There's actually a pretty big project called DBpedia which is basically a graph db version of Wikipedia: https://en.m.wikipedia.org/wiki/DBpedia
wow i've never heard of this before, thanks for sharing!!
Oh yeah I forgot to mention that one!
So this is how people in thewikigame win!
omg that's a great idea, i hadn't even thought of that!! 😆😆
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no worries at all! i'm not super familiar with querying wikidata, but i think the main differences between the tool you linked and my app are (a) the graphical representation of the data (a graph-based format vs. a linear format) and (b) the actual content of the data -- the site you linked returns information on the Wikidata properties of individual Wikipedia concecpts/articles, whereas WikiGraph focuses on the clickstream data (i.e., relationships) between articles!
This is really cool!
You mentioned that getting your head around the database was difficult. Do you have code available for that part of it, or any advice if I were to attempt it myself? I do network biology and this would be a great resource to play around with, given how intuitive the links are!
Edit. I've actually just seen you've got a lot of info regarding data and code in the 'About' section, but I'd still appreciate advice if you have any!
Neo4j have fairly good training available on their site for free.
https://graphacademy.neo4j.com/courses/
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i will echo the sentiment of the other commenter on this thread though and vouch for the Neo4j tutorials -- they were super super helpful!! i used this starting guide: https://neo4j.com/developer/get-started/
I recommend you to look into Semantic Web, Link Open Data and wiki media :)
thanks so much for the recommendations -- I'm definitely very interested in the Semantic Web and WikiMedia at large :)
It seems to have a problem with 2+ word entries.
:o can you explain further / give an example? would love to fix!!
The box on the lower right titled
"Search for a Wikipedia article:"
If you put in a two word term it doesn't find the article.
I put in 'Disc Golf', clicked the "Create new graph" button, it found 'Dire Wolf'.
I like it, when it opens up a new path and expands. Btw., would you be interested in a logo for WikiGraph, I believe this project is very interesting and deserves a captivating eye catcher.
omg this would be amazing!!! i'd love to have a logo and to credit you if you're interested in developing one!
Alright I have sent you a private message, let me know if it didn’t sent
Easier than ever to play Wiki Golf!
glad that it's being put to good use 😤💪💪💪
Very cool! Is it open source?
yes!! https://github.com/lee-janice/wikigraph
You just produce visualization of page rank algorithm, which browsers use to rank page.
ANYWAY...
There should be a project which automatically serialize the Wikipedia information - like if you want to learn about probability - the graph should serialize the information, categorizing small article nodes in big article nodes and displaying these big nodes in a directed tree. That would be a real fun project. I was reading a paper where some authors apply GANs I think to help new readers of where they should start reading the literature. Like if they want to know about face recognition, then first papers would be the root nodes of that tree and its sub-articles would be connected to this. The next important revolutions would then be the child nodes.
The same is the problem with Wikipedia - if you don't know anything about evolutionary computing, you should start by combinatorial optimization, have some knowledge of reinforcement learning and game theory. It would be real ergonomic, and this way you will be able to learn quickly instead of messing your head in stuff you don't understand and thinking your brain is too small to grasp this field.
i totally agree -- i've been thinking about this a lot!!! i really would love to be able to "semantically categorize" Wikipedia articles so that we can parse through a more comprehensive / complete view of specific topics -- i'm hoping to look into things like information ontologies soon! one low-lift thing i've been thinking about is leveraging the Wikipedia "series" -- for example, the Ontology page that I linked is a part of a series of Wikipedia articles on information science -- and being able to navigate these series in a graphical / hierarchical form could be useful!
related to your point about GANs, i recently saw on this subreddit a cool tool called MindMapper that leveraged the OpenAI API to generate mind maps of any topic that you can think of, and it seemed to generate useful results, so that's also something in the back of my mind :)
thanks for the interesting suggestions!
This is great. The wikimedia community would probably love something like this. Automatic generation of visual data to summarize a topic is very inclusive/accessible.
You might find this of interest too. Would love to explore visualization of data for this project: https://researchinvolvement.biomedcentral.com/articles/10.1186/s40900-022-00363-9
This is helpful. Looks nice and fun to a trivia freak like me :)
I like it as a game where you start from the universe and try to reach to a particular word with no close connection, like semantle.
Oooh this is fun to play with. I'm intimidated to think how long it took to make!
aww thanks :) any feedback or suggestions would be really appreciated!! and once I created the database, it didn't take too long -- figuring out neo4j was the hard part 😁
Sweet, it's a cool project. I have basically no coding experience whatsoever so I'm easily impressed lol, take my enthusiasim with a grain of salt :)