#dataconnectivity — Public Fediverse posts

https://www.europesays.com/uk/174110/ AST SpaceMobile Stock (ASTS) Rallies Alongside Surging Demand for Satellite Internet #ASTSpaceMobile #ASTS #DataConnectivity #GlobalInternetConnectivity #GovernmentContracts #Internet #SatelliteInternet #Satellites #Technology #TipRanks #UK #UnitedKingdom

This week’s edition of my @linkedin newsletter shines a light on the impact of the Model Context Protocol (MCP) across multiple computing eras—leading right up to today.

We’ve arrived at a moment where loose coupling principles are cool (and super useful) again.

Naturally, there are some live demo nuggets in the post to help bring it all to life:

🔗 https://www.linkedin.com/pulse/model-context-protocol-bridging-generational-computing-idehen-qdtce/

#AI #GenAI #MCP #KnowledgeGraph #LinkedData #SemanticWeb #SQL #SPARQL #DBMS #DataConnectivity

The Model Context Protocol acts as a universal translator between LLMs and data sources, eliminating complex platform-specific requirements. Our new open source MCP server for ODBC (mcp-odbc-server) enables seamless integration of any ODBC-accessible data into RAG pipelines.

Read more in my latest newsletter!

https://www.linkedin.com/pulse/whats-model-context-protocol-why-important-kingsley-uyi-idehen-zy8ue

#MCP #ODBC #SPARQL #SQL #LinkedData #DBMS #DataConnectivity #AI #GenAI #Agentic

The Model Context Protocol acts as a universal translator between LLMs and data sources, eliminating complex platform-specific requirements. Our new open source MCP server for ODBC (mcp-odbc-server) enables seamless integration of any ODBC-accessible data into RAG pipelines.

Read more in my latest newsletter!

https://www.linkedin.com/pulse/whats-model-context-protocol-why-important-kingsley-uyi-idehen-zy8ue

#MCP #ODBC #SPARQL #SQL #LinkedData #DBMS #DataConnectivity #AI #GenAI #Agentic

The Model Context Protocol acts as a universal translator between LLMs and data sources, eliminating complex platform-specific requirements. Our new open source MCP server for ODBC (mcp-odbc-server) enables seamless integration of any ODBC-accessible data into RAG pipelines.

Read more in my latest newsletter!

https://www.linkedin.com/pulse/whats-model-context-protocol-why-important-kingsley-uyi-idehen-zy8ue

#MCP #ODBC #SPARQL #SQL #LinkedData #DBMS #DataConnectivity #AI #GenAI #Agentic

The Model Context Protocol acts as a universal translator between LLMs and data sources, eliminating complex platform-specific requirements. Our new open source MCP server for ODBC (mcp-odbc-server) enables seamless integration of any ODBC-accessible data into RAG pipelines.

Read more in my latest newsletter!

https://www.linkedin.com/pulse/whats-model-context-protocol-why-important-kingsley-uyi-idehen-zy8ue

#MCP #ODBC #SPARQL #SQL #LinkedData #DBMS #DataConnectivity #AI #GenAI #Agentic

The Model Context Protocol acts as a universal translator between LLMs and data sources, eliminating complex platform-specific requirements. Our new open source MCP server for ODBC (mcp-odbc-server) enables seamless integration of any ODBC-accessible data into RAG pipelines.

Read more in my latest newsletter!

https://www.linkedin.com/pulse/whats-model-context-protocol-why-important-kingsley-uyi-idehen-zy8ue

#MCP #ODBC #SPARQL #SQL #LinkedData #DBMS #DataConnectivity #AI #GenAI #Agentic

🇻🇳 VIETNAM | 🇸🇬 SINGAPORE
🔴 Strategic Partnership Expanded

🔸 Vietnam & Singapore agree on subsea cable cooperation, finance & energy ties.
🔸 Vietnam plans 10 new submarine cables by 2030.
🔸 Singapore pledged support for Vietnam’s financial hub ambitions.

#Vietnam #Singapore #SubseaCables #Investment #DataConnectivity

Alphabet’s Taara Project Has Developed a Photonic Chip That Transmits Data Faster Than Fiber

#Taara #Alphabet #Google #PhotonicChip #WirelessInternet #FiberAlternative #HighSpeedInternet #Connectivity #FiberOptic #InternetAccess #DataConnectivity #Chips

https://winbuzzer.com/2025/03/01/googles-new-phototonic-taara-chip-could-replace-fiber-with-10gbps-wireless-beams-xcxwbn/

Alphabet’s Taara Project Has Developed a Photonic Chip That Transmits Data Faster Than Fiber

#Taara #Alphabet #Google #PhotonicChip #WirelessInternet #FiberAlternative #HighSpeedInternet #Connectivity #FiberOptic #InternetAccess #DataConnectivity #Chips

https://winbuzzer.com/2025/03/01/googles-new-phototonic-taara-chip-could-replace-fiber-with-10gbps-wireless-beams-xcxwbn/

Alphabet’s Taara Project Has Developed a Photonic Chip That Transmits Data Faster Than Fiber

#Taara #Alphabet #Google #PhotonicChip #WirelessInternet #FiberAlternative #HighSpeedInternet #Connectivity #FiberOptic #InternetAccess #DataConnectivity #Chips

https://winbuzzer.com/2025/03/01/googles-new-phototonic-taara-chip-could-replace-fiber-with-10gbps-wireless-beams-xcxwbn/

Here's a new post about some of my latest findings regarding #ChatGPT utility (courtesy of #ChatGPT4).

Problem:
How do I utilize the #DataAccess and #DataConnectivity that's already provided by #DBpedia using ChatGPT?

Read: https://community.openlinksw.com/t/howto-generating-instant-dbpedia-lookups-and-interactions-using-chat-gpt/3812.

You can also watch a #screencast demo at: https://youtu.be/DaM_QsSCI3w

#LinkedData #SemanticWeb

A single open source edition instance of our #VirtuosoRDBMS scales up to 100 billion+ entity relationship represented as #RDF triples (or quads).

This open source release eradicates performance and scale as hurdles that impede adoption of modern data access, management, and integration -- where hyperlinks function as cross-platform super-keys for #DataAccess & #DataConnectivity

#LinkedData #SPARQL #SQL #GraphDatabase #SemanticWeb #GraphQL #Web30 #DBMS

/cc @openlink @Mastodon

Items immediately available.

* https://shop.openlinksw.com/license_generator/virtuoso-download/ -- on-premise installers for Linux, macOS, and Windows

* https://hub.docker.com/r/openlink/virtuoso-closedsource-8 -- Docker Container

For Amazon AWS & Microsoft Azure Clouds

* https://aws.amazon.com/marketplace/seller-profile?id=1b9b499d-15e3-479d-a644-da16d45c40a7 -- Amazon Web Services (AWS) Cloud Virtual Machines

* https://azuremarketplace.microsoft.com/en-us/marketplace/apps?search=Virtuoso%208.3.3323&page=1 -- Microsoft Azure Cloud Virtual Machines

#VirtuosoRDBMS #GraphDatabase #SemanticWeb #DBMS #DataVirtualization #LinkedData #DataConnectivity #Web30 #KnowledgeGraph

/cc @openlink @Mastodon

Woot!

Deploying entire #HTTPS sites from our #VirtuosoRDBMS just got easier (via native ACME protocol support)!

Ditto #KnowledgeGraph generation directly from the #Fediverse i.e., each post is automatically transformed into a #SemanticWeb nugget deployed using #LinkedData principles.

Native #GraphQL support also includes subscriptions via native #websockets support too!

/cc @openlink @Mastodon

#SPARQL #SQL #ActivityStreams #Web30 #DataConnectivity #Web30

@aniltj,

"..And a core component that they are trying to break is the first class support for JSON-LD within the standard, that gives the data representation its power and flexibility."

Yep!

Unfortunately for them, #Fediverse apps exist, and the broader community is much wiser due to the #Web20 experience.

#JSONLD is a #JSON dialect that makes it easier to harness the fundamental essence of the #Web:

Name everything unambiguously using a #Hyperlink to make #DataConnectivity magic happen.

#JSONLD is such a wonderful addition to the #Web.

https://w3techs.com/technologies/details/da-jsonld

It's the underlying format used by #ActivityStreams payloads dispatched within and across the #Fediverse by #ActivityPub.

#SemanticWeb #Web30 #LinkedData #DataConnectivity

@tanepiper @GiorgiaLodi @pietervaneverdingen Wonderful!

Courtesy of our @datasniff browser extension, I can see how your #KnowledgeGraph is being integrated into #HTML docs published to your website.

Example page:
https://www.ikea.com/us/en/p/rengjord-built-in-dishwasher-90504572/

#SPARQL Query using that page as the Data Source Name (#DSN).
https://tinyurl.com/5bz5hxs4

#DataConnectivity #LinkedData #SemanticWeb #Web30 #UseCase #eCommerce

Yep!

Today, there's a massive #Fediverse comprising lots of entities and entity relationship types named using a #Hyperlink.

All of this data flows #DataSpaces without the disturbance of silos.

/cc @openlink @Mastodon

#DataFlow #DataConnectivity #LinkedData #SemanticWeb #ActivityStreams #ActivityPub

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

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

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

@datasniff Here are some live demonstrations of #SPARQL queries that use the new Apple MacBook Pro page as a Data Source Name (#DSN).

[1] Query Results Page -- https://tinyurl.com/3ns2u8ye

[2] Query Definition and Editor Page -- https://tinyurl.com/msw7bwuh (@datasniff also offers live query editing)

[3] Sample Entity Description Page -- https://tinyurl.com/ndap35rb

Conclusion:
The #Web has stealthily evolved into a #SemanticWeb, courtesy of loose-coupling 😀

#DataConnectivity #KnowledgeGraph

@volkris,

How about looking at the matter this way:

The #Fediverse is a federation of *loosely-coupled* systems that perform CRUD operations on structured data (#ActivityStreams) using a common protocol (#ActivityPub).

It's basically all driven by open standards vs proprietary #APIs.

Net effect, no instance has unilateral ownership of:

1. User Identity,
2. User Social Network
3. User Content

/cc @SrRochardBunson @atomicpoet

#Web30 #OpenWeb #DataConnectivity

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

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

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

@alvaro,

Once the data is in a #DBMS (e.g., our #VirtuosoRDBMS) interactions occur via any combination of the following, courtesy of hyperlink-based data source names (#DSNs):

1. Faceted Search
2. #SPARQL queries
3. #SQL queries -- directly or via #ODBC via #JDBC compliant apps (e.g., various #DataVisualization tools)
4. #GraphQL queries

/cc @Mastodon @datasniff

#DataConnectivity #LinkedData #SemanticWeb #Web30

@eb,

Yes!

Look at what it has enabled so far, courtesy of its connectivity prowess:

1. Global Web of Documents that unshackles access to documents from machine and operating system silos

2. Global #DataSpaces that bring sociality to the digital realm

And there is so much more to come re:

1. self-sovereign identity (#ssi)

2. #identity #authenticity via #dpki

3. #privacy

4. data integration via Knowledge Graphs

#Web #SemanticWeb #LinkedData #DataConnectivity #KnowledgeGraph #Web30

@pdxjohnny,

Great to hear, and more to come!

#gptChat is a really handy tool for demonstrating the power of a #SemanticWeb fueled by incorporating #hyperlink based entity denotation into structured data representation.

#RDF #LinkedData #DataAccess #DataConnectivity

Higher resolution variant of the #screencast that demonstrates the use of GPT-Chat for generating a HowTo Knowledge Graph from text.

What's happening?
Used a copy & paste sequence (via @datasniff) to create a GPT-Chat prompt that produced a HowTo using #RDF sentences.

Resulting data uplifted to a #VirtuosoRDBMS instance via #SPARQL.

/cc @openlink @datasniff @Mastodon

#SemanticWeb #UseCase #SmartAgent #Web30 #DataConnectivity #LinkedData #DataFlow #HowTo #KnowledgeGraph #HowTo #gptChat

@nilsvissenberg,

Yep!

A picture speaks a thousand words!

#Web20 silos are dead++.

#Web30 #Fediverse #DataConnectivity #Web30 #SemanticWeb #RWW #WebWeWant

@nilsvissenberg,

Yep!

A picture speaks a thousand words!

#Web20 silos are dead++.

#Web30 #Fediverse #DataConnectivity #Web30 #SemanticWeb #RWW #WebWeWant

@nilsvissenberg,

Yep!

A picture speaks a thousand words!

#Web20 silos are dead++.

#Web30 #Fediverse #DataConnectivity #Web30 #SemanticWeb #RWW #WebWeWant

@nilsvissenberg,

Yep!

A picture speaks a thousand words!

#Web20 silos are dead++.

#Web30 #Fediverse #DataConnectivity #Web30 #SemanticWeb #RWW #WebWeWant

Times are changing so fast, now that innovation has returned to the #Web.

Increasingly, I can 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

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

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

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

@bobwyman,

Yes!

BTW -- using an #HTTP-based #Hyperlink as an Entity Name addresses the concerns you've raised.

Thanks to the #Fediverse, the power of hyperlink-base entity names will become increasingly obvious, as hashtags demonstrate right now 😀

Here's a publicly accessible #GoogleSpreadsheet that demonstrates hyperlink-based unambiguous entity names (a/k/a #WebID).

https://docs.google.com/spreadsheets/d/18Pi1AeQezbTdjjPcb6ol0Rxwx-hq5JkA4RoPsTapPqw/edit#gid=1449881487&range=A1

/cc @ben @MildlyAggrievedScientist

#DataConnectivity #OpenWeb #Identity

@fedilink,

Great to see that you make good use of #RDFa, #RSS, and #Atom re open #DataAccess and #DataConnectivity.

Courtesy of the @openlink Structured Data Sniffer Browser Extension (@datasniff) [1], I am able to see all the cool structured data embedded in your #HTML docs.

[1] https://medium.com/openlink-software-blog/openlink-structured-data-sniffer-osds-version-2-21-6-4026eddb47db -- About the OpenLink Structured Data Sniffer (#OSDS) Browser Extension

/cc @Mastodon

#Fediverse #LinkedData #OpenWeb