#hyperdata — Public Fediverse posts

A nice #Web presentation about Digital Memory that's ever so important as #chatGPT opens up new #SemanticWeb interaction frontiers.

https://cdn.knightlab.com/libs/timeline3/latest/embed/index.html?source=1WXgSplqAB62oMSdwqli_1G3k37c0y6fZkZJLzc5Www8&font=Default&lang=en&hash_bookmark=true&initial_zoom=4&start_at_slide=8&height=800#event-tim-berners-lee-the-future-of-the-web-www94

#Hypertext #LinkedData #HyperData #Web30 #History

A nice #Web presentation about Digital Memory that's ever so important as #chatGPT opens up new #SemanticWeb interaction frontiers.

https://cdn.knightlab.com/libs/timeline3/latest/embed/index.html?source=1WXgSplqAB62oMSdwqli_1G3k37c0y6fZkZJLzc5Www8&font=Default&lang=en&hash_bookmark=true&initial_zoom=4&start_at_slide=8&height=800#event-tim-berners-lee-the-future-of-the-web-www94

#Hypertext #LinkedData #HyperData #Web30 #History

@atomicpoet,

Regarding "Personal data is the new oil." [1], the #Fediverse will take us to a better place where "Personal data is the new electricity" conducted via hyperlinks [2].

Oil reflects the current extractive (and polluting) mindset that drives #Web20 #DataSilos and #SurveillanceCapitalism.

Electricity aligns with technological inflection that ushers in a new frontier :)

[1] https://blog.atomicpoet.org/#Personal-data-is-the-new-oil

[2] https://medium.com/virtuoso-blog/what-is-a-sparql-endpoint-and-why-is-it-important-b3c9e6a20a8b

#HyperData #LinkedData #SemanticWeb #WebWeWant

@atomicpoet,

Regarding "Personal data is the new oil." [1], the #Fediverse will take us to a better place where "Personal data is the new electricity" conducted via hyperlinks [2].

Oil reflects the current extractive (and polluting) mindset that drives #Web20 #DataSilos and #SurveillanceCapitalism.

Electricity aligns with technological inflection that ushers in a new frontier :)

[1] https://blog.atomicpoet.org/#Personal-data-is-the-new-oil

[2] https://medium.com/virtuoso-blog/what-is-a-sparql-endpoint-and-why-is-it-important-b3c9e6a20a8b

#HyperData #LinkedData #SemanticWeb #WebWeWant

I've always seen the #Web as a fascinating #DataConnectivity, #DataAccess, and #DBMS frontier .

For instance, I use a variety of patterns ("Save As", "Bookmark" etc.) to save interesting data (extracted from #HTML doc content) into a publicly accessible #DataSpace.

Here's a link to the results of a #SPARQL query scoped to a particular #KnowledgeGraph.

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%3Curn%3Aschemaorg%3Adata%3Aabox%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

Click to explore, as per usual 😀

/cc @Mastodon

#LinkedData #HyperData

I've always seen the #Web as a fascinating #DataConnectivity, #DataAccess, and #DBMS frontier .

For instance, I use a variety of patterns ("Save As", "Bookmark" etc.) to save interesting data (extracted from #HTML doc content) into a publicly accessible #DataSpace.

Here's a link to the results of a #SPARQL query scoped to a particular #KnowledgeGraph.

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%3Curn%3Aschemaorg%3Adata%3Aabox%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

Click to explore, as per usual 😀

/cc @Mastodon

#LinkedData #HyperData

GPT-Chat continues to pleasantly surprise me. For instance, it can generate a machine-computable rendition of a #JobPosting using #RDF sentences (manifesting a #KnowledgeGraph).

Here are new screencasts published to YouTube that demonstrates the point outlined above -- using a Job Posting published by @Mastodon:

[1] https://youtu.be/WFvVvuyI2IA -- long version

[2] https://youtu.be/69faQS7JmUU -- short version

#LinkedData #SemanticWeb #VirtuosoRDBMS #gptChat #DataConnectivity #HyperData #HRTech

GPT-Chat continues to pleasantly surprise me. For instance, it can generate a machine-computable rendition of a #JobPosting using #RDF sentences (manifesting a #KnowledgeGraph).

Here are new screencasts published to YouTube that demonstrates the point outlined above -- using a Job Posting published by @Mastodon:

[1] https://youtu.be/WFvVvuyI2IA -- long version

[2] https://youtu.be/69faQS7JmUU -- short version

#LinkedData #SemanticWeb #VirtuosoRDBMS #gptChat #DataConnectivity #HyperData #HRTech

Click on an entity of interest will take you to an entity description page.

https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fhachyderm.io%2F@slangevi%23this&graph=urn%3Akidehen%3Amastodon%3Afollows&distinct=1

You can even pivot from a specific entity description page to a more generalized page by using different attributes to build up a collection of filters.

https://linkeddata.uriburner.com/fct/facet.vsp?qxml=%3C%3Fxml%20version%3D%221.0%22%20encoding%3D%22UTF-8%22%20%3F%3E%3Cquery%20inference%3D%22%22%20invfp%3D%22IFP_OFF%22%20same-as%3D%22SAME_AS_OFF%22%20view3%3D%22%22%20s-term%3D%22e%22%20c-term%3D%22type%22%20agg%3D%22%22%20limit%3D%22500%22%3E%3Cclass%20iri%3D%22http%3A%2F%2Fschema.org%2FPerson%22%20%2F%3E%3Cproperty%20iri%3D%22http%3A%2F%2Fwww.openlinksw.com%2Fschemas%2Ftwitter%23followsCount%22%20%2F%3E%3Cproperty%20iri%3D%22http%3A%2F%2Fwww.openlinksw.com%2Fschemas%2Ftwitter%23followersCount%22%20%2F%3E%3Cproperty%20iri%3D%22http%3A%2F%2Fschema.org%2FmainEntityOfPage%22%20%2F%3E%3Cproperty%20iri%3D%22http%3A%2F%2Fschema.org%2Fidentifier%22%20%2F%3E%3Cview%20type%3D%22list-count%22%20limit%3D%22500%22%20offset%3D%220%22%20%2F%3E%3C%2Fquery%3E&timeout=16000

All of this is possible when data is expressed as a #Web constructed from hyperlinks.

/cc @observablehq @mauforonda @Mastodon @judell

#SemanticWeb #KnowledgeGraph #DataConnectivity #HyperData

Click on an entity of interest will take you to an entity description page.

https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fhachyderm.io%2F@slangevi%23this&graph=urn%3Akidehen%3Amastodon%3Afollows&distinct=1

You can even pivot from a specific entity description page to a more generalized page by using different attributes to build up a collection of filters.

https://linkeddata.uriburner.com/fct/facet.vsp?qxml=%3C%3Fxml%20version%3D%221.0%22%20encoding%3D%22UTF-8%22%20%3F%3E%3Cquery%20inference%3D%22%22%20invfp%3D%22IFP_OFF%22%20same-as%3D%22SAME_AS_OFF%22%20view3%3D%22%22%20s-term%3D%22e%22%20c-term%3D%22type%22%20agg%3D%22%22%20limit%3D%22500%22%3E%3Cclass%20iri%3D%22http%3A%2F%2Fschema.org%2FPerson%22%20%2F%3E%3Cproperty%20iri%3D%22http%3A%2F%2Fwww.openlinksw.com%2Fschemas%2Ftwitter%23followsCount%22%20%2F%3E%3Cproperty%20iri%3D%22http%3A%2F%2Fwww.openlinksw.com%2Fschemas%2Ftwitter%23followersCount%22%20%2F%3E%3Cproperty%20iri%3D%22http%3A%2F%2Fschema.org%2FmainEntityOfPage%22%20%2F%3E%3Cproperty%20iri%3D%22http%3A%2F%2Fschema.org%2Fidentifier%22%20%2F%3E%3Cview%20type%3D%22list-count%22%20limit%3D%22500%22%20offset%3D%220%22%20%2F%3E%3C%2Fquery%3E&timeout=16000

All of this is possible when data is expressed as a #Web constructed from hyperlinks.

/cc @observablehq @mauforonda @Mastodon @judell

#SemanticWeb #KnowledgeGraph #DataConnectivity #HyperData

BTW -- I've picked the indirection ("*") vs address-of ("&") operators example due to their importance.

Pointers and Addresses have always being challenging concepts to understand.

The same challenges have dogged understanding #Hyperlink functionality that unleashed the #Web i.e., a #HTTP #URI is "*" while a #URL is "&" .

Phenomenal computing power!

#AWWW #OpenWeb #LinkedData #HyperData #DataConnectivity #SemanticWeb #Web30

/cc @Mastodon @judell

BTW -- I've picked the indirection ("*") vs address-of ("&") operators example due to their importance.

Pointers and Addresses have always being challenging concepts to understand.

The same challenges have dogged understanding #Hyperlink functionality that unleashed the #Web i.e., a #HTTP #URI is "*" while a #URL is "&" .

Phenomenal computing power!

#AWWW #OpenWeb #LinkedData #HyperData #DataConnectivity #SemanticWeb #Web30

/cc @Mastodon @judell

Latest #gptChat exercise?

Asking it to write an #HTML document comprising a #DBpedia based #KnowledgeGraph.

Prompt:
https://carbon.now.sh/?bg=rgba%28171%2C+184%2C+195%2C+1%29&t=seti&wt=none&l=auto&width=680&ds=true&dsyoff=20px&dsblur=68px&wc=true&wa=true&pv=56px&ph=56px&ln=false&fl=1&fm=Hack&fs=14px&lh=133%25&si=false&es=2x&wm=false&code=Write%2520a%2520sample%2520responsive%2520HTML%2520page%2520comprising%25203%2520demographic%2520facts%2520about%2520Nigeria%2520using%2520a%25202x5%2520bordered%2520spreadsheet%2520table%2520with%2520the%2520following%2520features%253A%250A%250A1.%2520a%2520column%2520heading%2520for%2520each%2520fact%253B%250A2.%2520a%2520hyperlink%2520from%2520DBpedia%2520anchored%2520to%2520each%2520fact%253B%250A3.%2520RDF-Turtle%2520rendition%2520of%2520these%2520facts%2520embedded%2520in%2520the%2520%253Chead%252F%253E%2520section%2520as%2520metadata.

Response:
https://linkeddata.uriburner.com/c/8BG3DK

I made two corrections:

1. corrected the content-type (changed text/rdf to text/turtle)

2. added missing xsd: prefix declaration

I used our #OSDS browser extension for view the embedded DBpedia Knowledge Graph.

/cc @judell

#SemanticWeb #LinkedData #DataConnectivity #HyperData #Web30

Latest #gptChat exercise?

Asking it to write an #HTML document comprising a #DBpedia based #KnowledgeGraph.

Prompt:
https://carbon.now.sh/?bg=rgba%28171%2C+184%2C+195%2C+1%29&t=seti&wt=none&l=auto&width=680&ds=true&dsyoff=20px&dsblur=68px&wc=true&wa=true&pv=56px&ph=56px&ln=false&fl=1&fm=Hack&fs=14px&lh=133%25&si=false&es=2x&wm=false&code=Write%2520a%2520sample%2520responsive%2520HTML%2520page%2520comprising%25203%2520demographic%2520facts%2520about%2520Nigeria%2520using%2520a%25202x5%2520bordered%2520spreadsheet%2520table%2520with%2520the%2520following%2520features%253A%250A%250A1.%2520a%2520column%2520heading%2520for%2520each%2520fact%253B%250A2.%2520a%2520hyperlink%2520from%2520DBpedia%2520anchored%2520to%2520each%2520fact%253B%250A3.%2520RDF-Turtle%2520rendition%2520of%2520these%2520facts%2520embedded%2520in%2520the%2520%253Chead%252F%253E%2520section%2520as%2520metadata.

Response:
https://linkeddata.uriburner.com/c/8BG3DK

I made two corrections:

1. corrected the content-type (changed text/rdf to text/turtle)

2. added missing xsd: prefix declaration

I used our #OSDS browser extension for view the embedded DBpedia Knowledge Graph.

/cc @judell

#SemanticWeb #LinkedData #DataConnectivity #HyperData #Web30

To generate a #KnowledgeGraph directly from a #CSV rendition of the #GoogleSpreadsheet, use the following #URL:

https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fdocs.google.com%2Fspreadsheets%2Fd%2F18Pi1AeQezbTdjjPcb6ol0Rxwx-hq5JkA4RoPsTapPqw%2Fgviz%2Ftq%3Ftqx%3Dout%3Acsv%26sheet%3DFediverseLandscape%26range%3DA2%3AF169&sponger-get=add

And then click on the value of the "mainEntity" property to start exploration.

#LinkedData #HyperData

To generate a #KnowledgeGraph directly from a #CSV rendition of the #GoogleSpreadsheet, use the following #URL:

https://linkeddata.uriburner.com/describe/?url=https%3A%2F%2Fdocs.google.com%2Fspreadsheets%2Fd%2F18Pi1AeQezbTdjjPcb6ol0Rxwx-hq5JkA4RoPsTapPqw%2Fgviz%2Ftq%3Ftqx%3Dout%3Acsv%26sheet%3DFediverseLandscape%26range%3DA2%3AF169&sponger-get=add

And then click on the value of the "mainEntity" property to start exploration.

#LinkedData #HyperData

Pleasant surprise!
@Mastodon's content server includes support for #HTTP content-negotiation.

Meaning:
HTTP clients can negotiate preferred document content-types.

Implications?
More data-driven innovation driven by loosely-coupling of existing open standards.

/cc @judell

#HyperData #DataConnectivity #LinkedData

Pleasant surprise!
@Mastodon's content server includes support for #HTTP content-negotiation.

Meaning:
HTTP clients can negotiate preferred document content-types.

Implications?
More data-driven innovation driven by loosely-coupling of existing open standards.

/cc @judell

#HyperData #DataConnectivity #LinkedData

Using our new #VirtuosoRDBMS hosted Truthy #Wikidata query service endpoint, here's a #SPARQL query that lists joint holders of #Twitter and @Mastodon accounts.

https://wikidata-truthy.demo.openlinksw.com/sparql?default-graph-uri=http%3A%2F%2Fwww.wikidata.org%2F&query=SELECT+DISTINCT+%3Fthing+%3Ftwitter+%3FtwitterPage+%3Fmastodon+%3FmastodonPage%0D%0AWHERE+%7B%0D%0A++++++++++++++++%3Fthing+wdt%3AP2002+%3Ftwitter+%3B+wdt%3AP4033+%3Fmastodon+.%0D%0A++++++++++++++++BIND+%28IRI%28CONCAT%28%27https%3A%2F%2Ftwitter.com%2F%27%2C%3Ftwitter%29+%29+AS+%3FtwitterPage%29%0D%0A++++++++++++++++BIND+%28IRI%28CONCAT%28%27https%3A%2F%2Fmastodon.social%2F%27%2C%27%40%27%2C%3Fmastodon%29+%29+AS+%3FmastodonPage%29%0D%0A++++++++++++++++%0D%0A%7D+%0D%0AORDER+BY+ASC%28%3Ftwitter%29&format=text%2Fhtml&timeout=0&signal_void=on

Simply click on a link of interest to lookup a description of whatever it names 😀

I just copied and tweaked a query from the following post by @egonw.

https://chem-bla-ics.blogspot.com/2022/11/finding-mastodon-accounts-with-wikidata.html

#KnowledgeGraph #GraphDatabase #LinkedData #DataConnectivity #HyperData

Using our new #VirtuosoRDBMS hosted Truthy #Wikidata query service endpoint, here's a #SPARQL query that lists joint holders of #Twitter and @Mastodon accounts.

https://wikidata-truthy.demo.openlinksw.com/sparql?default-graph-uri=http%3A%2F%2Fwww.wikidata.org%2F&query=SELECT+DISTINCT+%3Fthing+%3Ftwitter+%3FtwitterPage+%3Fmastodon+%3FmastodonPage%0D%0AWHERE+%7B%0D%0A++++++++++++++++%3Fthing+wdt%3AP2002+%3Ftwitter+%3B+wdt%3AP4033+%3Fmastodon+.%0D%0A++++++++++++++++BIND+%28IRI%28CONCAT%28%27https%3A%2F%2Ftwitter.com%2F%27%2C%3Ftwitter%29+%29+AS+%3FtwitterPage%29%0D%0A++++++++++++++++BIND+%28IRI%28CONCAT%28%27https%3A%2F%2Fmastodon.social%2F%27%2C%27%40%27%2C%3Fmastodon%29+%29+AS+%3FmastodonPage%29%0D%0A++++++++++++++++%0D%0A%7D+%0D%0AORDER+BY+ASC%28%3Ftwitter%29&format=text%2Fhtml&timeout=0&signal_void=on

Simply click on a link of interest to lookup a description of whatever it names 😀

I just copied and tweaked a query from the following post by @egonw.

https://chem-bla-ics.blogspot.com/2022/11/finding-mastodon-accounts-with-wikidata.html

#KnowledgeGraph #GraphDatabase #LinkedData #DataConnectivity #HyperData

@atomicpoet,

We are kinda there already. All that needs to happen right now is a general understanding of the importance of denoting whatever we speak about using a #hyperlink.

Basically, we start with words and then build up to simple sentences :)

#LinkedData #HyperData #Hypermedia

@atomicpoet,

We are kinda there already. All that needs to happen right now is a general understanding of the importance of denoting whatever we speak about using a #hyperlink.

Basically, we start with words and then build up to simple sentences :)

#LinkedData #HyperData #Hypermedia

Woot!

A new #DBpedia snapshot release is now live.

See: https://community.openlinksw.com/t/announcing-dbpedia-release-2022-09/3476

#SPARQL Query Service Endpoint: https://dbpedia.org/sparql

#FacetedSearch Service:
https://dbpedia.org/fct

#LinkedData page example:
https://dbpedia.org/resource/Linked_Data

#DataConnectivity #KnowledgeGraph #LinkedData #HyperData #Web30 #VirtuosoRDBMS

Woot!

A new #DBpedia snapshot release is now live.

See: https://community.openlinksw.com/t/announcing-dbpedia-release-2022-09/3476

#SPARQL Query Service Endpoint: https://dbpedia.org/sparql

#FacetedSearch Service:
https://dbpedia.org/fct

#LinkedData page example:
https://dbpedia.org/resource/Linked_Data

#DataConnectivity #KnowledgeGraph #LinkedData #HyperData #Web30 #VirtuosoRDBMS

A few notes about @Mastodon as a viable Twitter alternative.

https://linkeddata.uriburner.com/twingler/?uri=https://twitter.com/kidehen/status/1592559983031308290

@judell's content offered lots of data for my tests :)

#LinkedData #DataConnectivity #DataAccess #Web30 #HyperData #DataTwingler #Blogosphere30 #DataSpaces