There are better ways [1] [2], there's just no paying customers. You can express knowledge using a Semantic Web Stack[3], encode data in N-Triple/JSON-LD/RDF/XM

There are better ways [1] [2], there's just no paying customers. You can express knowledge using a Semantic Web Stack[3], encode data in N-Triple/JSON-LD/RDF/XML and query it with SPARQL or Turtle. Wikidata[4] is an example of this. But (afaik) nobody's selling a product that builds and queries a large semantic knowledge base for consumers. Some industries have Semantic Web-based solutions (i'm not aware of commercial ones but I assume they exist), but nobody has yet explained to the consumer why or how they should build ontologies or keep data in triples. The terminology itself is probably a barrier to market, and all the interfaces are (imo) clunky. If I were to build a consumer product, I would hide all the technical jibberish and make a slick UI that walks the user through linking semantic data, leaning heavily on Wikidata to fill in gaps. Gameify it so that people can compete for points to link more data, add a subscription fee, add social components: poof! Billion dollar personal-knowledge-base app to replace Evernote. Value add/tagline: "Know yourself better." (inb4 selling the free version's users' anonymized data to advertisers...) [1] https://www.wikidata.org/wiki/Lexeme:L302468 https://www.wikidata.org/wiki/Lexeme:L302468 [2] https://www.wikidata.org/wiki/Q90889591 https://www.wikidata.org/wiki/Q90889591 [3] https://en.wikipedia.org/wiki/Semantic_Web_Stack https://en.wikipedia.org/wiki/Semantic_Web_Stack [4] https://medium.com/@swaapniil/a-guide-to-using-sparql-queries-playing-with-wikidata-cc5e2f6a5ffc https://medium.com/@swaapniil/a-guide-to-using-sparql-querie...