Event JSON
{
"id": "b4fc727ad4ef817aefa4400e100e922b6b9a2fabb02aaebfb66c873b14839e72",
"pubkey": "360e9b8efcff2554142653ccc380ac433cdbdcd733149e068f4636abe32d7394",
"created_at": 1684600132,
"kind": 1,
"tags": [
[
"p",
"4ea4be6ab9a17dd0451d0af5ce7a76175074f72cf6ef5b1b1b94905f4a82078a",
"wss://relay.mostr.pub"
],
[
"p",
"0e07da8697b6ad0b8579b95bf1311b28ba5488a5e1fb1c3a8c18c30bdd560e00",
"wss://relay.mostr.pub"
],
[
"e",
"66f6c479c7aca7044481053651c0c0c68908f631041d76a1e3d7136039061428",
"wss://relay.mostr.pub",
"reply"
],
[
"t",
"chatgpt"
],
[
"t",
"sparql"
],
[
"t",
"web"
],
[
"mostr",
"https://mastodon.social/users/kidehen/statuses/110401954313068361"
]
],
"content": "nostr:npub1f6jtu64e597aq3gapt6uu7nkzag8faev7mh4kxcmjjg97j5zq79qpk56zy I purposely display the content of the FAQ page in two different screenshots, showing a total of 10 questions. The objective of this exercise was to demonstrate that in an aspect of a #Web that manifests a Giant Global Entity Relationship Graph constructed from hyperlinks (a/k/a a Semantic Web), you can leverage the combined prowess of #ChatGPT and the #SPARQL query language (an HTTP-based query language, wire protocols, and serialization formats combo) for precise discovery😀",
"sig": "ad958eeb49d62d8bfcf0a1156f9a7bcee6d4e7e837e7dfca8cbd95f7d71f90d96ce7fd678f4ccc0544f827cb244db5c61571f32afb039151d46211d529be2b5f"
}
