Here's another presentation generated by #ChatGPT. This time the subject is #JSONLD.
I only touched-up the layout re JSON-LD code example during this entire effort that too about 50 seconds to generate.
#SemanticWeb #Web30 #SmartAgent #LinkedData #SchemaOrg #SEO #SSEO
#chatgpt #jsonld #semanticweb #web30 #smartagent #linkeddata #schemaorg #seo #sseo
To demonstrate the point regarding #SSEO and #KnowledgeGraph deployment via webpages, I'll use the new MacBook Pro product page (https://www.apple.com/shop/buy-mac/macbook-pro) released today re new M2 chip incorporation.
Courtesy of the @datasniff browser extension, you can immediately see enhanced #metadata embedded in Apple's pages. That's what manifests a #SPARQL, #GraphQL, or #SQL accessible Knowledge Graph.
#sseo #knowledgegraph #metadata #sparql #graphql #sql
Webpages are increasingly used to publish structured data that manifest #KnowledgeGraphs. This trend is driven by broad adoption of terms from Schema.org that are used to describe sites, pages, products, offers, etc..
Benefit?
Enhanced discoverability and understanding by search engines as the industry moves from keyword based #SEO to Semantic SEO (#SSEO).
SSEO makes Expertise, Authority, and Trust (E-A-T) metrics easier to compute by search engine algorithms.
1/N 🧵
The FAQ text came from https://help.openai.com/en/articles/6783457-chatgpt-faq .
#semanticweb #faq #seo #sseo #usecase #linkeddata #OSDS
Times are changing so fast, now that innovation has returned to the #Web.
Increasingly, I can just query webpages just like tables associated with a database management system (#DBMS).
Example.
Web Page: https://www.toasttab.com/little-big-diner-1247-centre-street/v3
#SPARQL Query Results: https://linkeddata.uriburner.com/sparql?query=%23%20DEFINE%20get%3Asoft%20%22soft%22%20%0ASELECT%20(SAMPLE(%3Fs)%20AS%20%3FEntityID)%20%0A%20%20%20%20%20%20%20(COUNT(*)%20AS%20%3Fcount)%20%0A%20%20%20%20%20%20%20(%3Fo%20AS%20%3FEntityTypeID)%20%0AFROM%20%3Chttps%3A%2F%2Fwww.toasttab.com%2Flittle-big-diner-1247-centre-street%2Fv3%23osds%3E%20%0AWHERE%20%7B%20%0A%20%20%20%20%20%20%20%20%3Fs%20a%20%3Fo%20.%20%0A%20%20%20%20%20%20%20%20FILTER%20(CONTAINS(STR(%3Fo)%2C%27schema%27))%20%0A%20%20%20%20%20%20%7D%20%0AGROUP%20BY%20%3Fo%20%0AORDER%20BY%20DESC%20(%3Fcount)%20%0ALIMIT%2050%20%0A%0A%0A%0A&format=text%2Fx-html%2Btr
#LInkedData #DataConnectivity #KnowledgeGraph #SemanticWeb #Web30 #SSEO #SEO
#web #dbms #sparql #linkeddata #dataconnectivity #knowledgegraph #semanticweb #web30 #sseo #seo
#Wikipedia pages now comprise an embedded Events oriented Knowledge Graph for each WorldCup 2022 match.
Said graph is constructed using terms from the http://schema.org/ vocabulary.
Example:
https://en.wikipedia.org/wiki/2022_FIFA_World_Cup_Group_B#England_vs_Iran
#Soccer #SSEO #SEO #LinkedData #DataConnectivity #KnowledgeGraph #WorldCup2022 #SchemaOrg
#schemaorg #wikipedia #soccer #sseo #seo #linkeddata #dataconnectivity #knowledgegraph #worldcup2022