#facetedsearch — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #facetedsearch, aggregated by home.social.
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#Newsletter #Features #Planung #Autocomplete #FacetedSearch #SearchHistory #MultipleFileUpload #Pinboard
Wir planen gerade die nächsten Umsetzungen neuer Funktionen für das Bildarchiv und haben im aktuellen Newsletter gefragt, was wir zuerst umsetzen sollen:
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#Newsletter #Features #Planung #Autocomplete #FacetedSearch #SearchHistory #MultipleFileUpload #Pinboard
Wir planen gerade die nächsten Umsetzungen neuer Funktionen für das Bildarchiv und haben im aktuellen Newsletter gefragt, was wir zuerst umsetzen sollen:
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#Newsletter #Features #Planung #Autocomplete #FacetedSearch #SearchHistory #MultipleFileUpload #Pinboard
Wir planen gerade die nächsten Umsetzungen neuer Funktionen für das Bildarchiv und haben im aktuellen Newsletter gefragt, was wir zuerst umsetzen sollen:
-
#Newsletter #Features #Planung #Autocomplete #FacetedSearch #SearchHistory #MultipleFileUpload #Pinboard
Wir planen gerade die nächsten Umsetzungen neuer Funktionen für das Bildarchiv und haben im aktuellen Newsletter gefragt, was wir zuerst umsetzen sollen:
-
#Newsletter #Features #Planung #Autocomplete #FacetedSearch #SearchHistory #MultipleFileUpload #Pinboard
Wir planen gerade die nächsten Umsetzungen neuer Funktionen für das Bildarchiv und haben im aktuellen Newsletter gefragt, was wir zuerst umsetzen sollen:
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🚀 **Cập nhật `pg_search`: Hỗ trợ tìm kiếm facet** với giao diện tùy chỉnh, kết hợp lập kế hoạch và quét trực tiếp để tối ưu hóa BM25 index (dựa trên Tantivy). Kết quả trả về JSON kèm thống kê nhanh nhờ cấu trúc cột. #pg_search #PostgreSQL #TìmKiếmTốiƯu #BM25 #FacetedSearch #CơSởDữLiệu #DevUpdate
(*tags: #postgresql #facetsearch #tantivy #databases #developernews*)
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Several rounds of updates later over the past few days (also in part thanks to some of the feedback received — thank you!), a new version of the thi.ng browser tool is up:
https://demo.thi.ng/umbrella/thing-browser/
New features include:
- additional per-project/example links to API docs, live demos, source code
- for each tag only the top 10 related tags are shown now to avoid (well, minimize) cognitive overload
- dozens of tags have been pruned/merged/replaced (across dozens of package.json files, an ongoing process for the near future...)
- glossary/reference link additions
- CSS updatesSince this entire tool is also entirely made with https://thi.ng/umbrella packages, some of these features (e.g. the related tag ranking/sorting) has been implemented & simplified via new additions to the https://thi.ng/transducers package (e.g. the new `sortedFrequencies()` reducer function, just released). Please see the main repo readme (section: "Latest updates") for more...
#ReleaseTuesday #ThingUmbrella #Discoverability #Exploration #FacetedSearch #Tagging #Metadata #Documentation #UI #OpenSource
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Several rounds of updates later over the past few days (also in part thanks to some of the feedback received — thank you!), a new version of the thi.ng browser tool is up:
https://demo.thi.ng/umbrella/thing-browser/
New features include:
- additional per-project/example links to API docs, live demos, source code
- for each tag only the top 10 related tags are shown now to avoid (well, minimize) cognitive overload
- dozens of tags have been pruned/merged/replaced (across dozens of package.json files, an ongoing process for the near future...)
- glossary/reference link additions
- CSS updatesSince this entire tool is also entirely made with https://thi.ng/umbrella packages, some of these features (e.g. the related tag ranking/sorting) has been implemented & simplified via new additions to the https://thi.ng/transducers package (e.g. the new `sortedFrequencies()` reducer function, just released). Please see the main repo readme (section: "Latest updates") for more...
#ReleaseTuesday #ThingUmbrella #Discoverability #Exploration #FacetedSearch #Tagging #Metadata #Documentation #UI #OpenSource
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Several rounds of updates later over the past few days (also in part thanks to some of the feedback received — thank you!), a new version of the thi.ng browser tool is up:
https://demo.thi.ng/umbrella/thing-browser/
New features include:
- additional per-project/example links to API docs, live demos, source code
- for each tag only the top 10 related tags are shown now to avoid (well, minimize) cognitive overload
- dozens of tags have been pruned/merged/replaced (across dozens of package.json files, an ongoing process for the near future...)
- glossary/reference link additions
- CSS updatesSince this entire tool is also entirely made with https://thi.ng/umbrella packages, some of these features (e.g. the related tag ranking/sorting) has been implemented & simplified via new additions to the https://thi.ng/transducers package (e.g. the new `sortedFrequencies()` reducer function, just released). Please see the main repo readme (section: "Latest updates") for more...
#ReleaseTuesday #ThingUmbrella #Discoverability #Exploration #FacetedSearch #Tagging #Metadata #Documentation #UI #OpenSource
-
Several rounds of updates later over the past few days (also in part thanks to some of the feedback received — thank you!), a new version of the thi.ng browser tool is up:
https://demo.thi.ng/umbrella/thing-browser/
New features include:
- additional per-project/example links to API docs, live demos, source code
- for each tag only the top 10 related tags are shown now to avoid (well, minimize) cognitive overload
- dozens of tags have been pruned/merged/replaced (across dozens of package.json files, an ongoing process for the near future...)
- glossary/reference link additions
- CSS updatesSince this entire tool is also entirely made with https://thi.ng/umbrella packages, some of these features (e.g. the related tag ranking/sorting) has been implemented & simplified via new additions to the https://thi.ng/transducers package (e.g. the new `sortedFrequencies()` reducer function, just released). Please see the main repo readme (section: "Latest updates") for more...
#ReleaseTuesday #ThingUmbrella #Discoverability #Exploration #FacetedSearch #Tagging #Metadata #Documentation #UI #OpenSource
-
Several rounds of updates later over the past few days (also in part thanks to some of the feedback received — thank you!), a new version of the thi.ng browser tool is up:
https://demo.thi.ng/umbrella/thing-browser/
New features include:
- additional per-project/example links to API docs, live demos, source code
- for each tag only the top 10 related tags are shown now to avoid (well, minimize) cognitive overload
- dozens of tags have been pruned/merged/replaced (across dozens of package.json files, an ongoing process for the near future...)
- glossary/reference link additions
- CSS updatesSince this entire tool is also entirely made with https://thi.ng/umbrella packages, some of these features (e.g. the related tag ranking/sorting) has been implemented & simplified via new additions to the https://thi.ng/transducers package (e.g. the new `sortedFrequencies()` reducer function, just released). Please see the main repo readme (section: "Latest updates") for more...
#ReleaseTuesday #ThingUmbrella #Discoverability #Exploration #FacetedSearch #Tagging #Metadata #Documentation #UI #OpenSource
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Alex Henman is presenting the talk "Beyond faceted search" at the DjangoCon Europe 2023 in Edinburgh 🏴🦄🚀
#DjangoConEuroppe #DjangoCon #Django #FacetedSearch #FullTextSearxh
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Alex Henman is presenting the talk "Beyond faceted search" at the DjangoCon Europe 2023 in Edinburgh 🏴🦄🚀
#DjangoConEuroppe #DjangoCon #Django #FacetedSearch #FullTextSearxh
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Alex Henman is presenting the talk "Beyond faceted search" at the DjangoCon Europe 2023 in Edinburgh 🏴🦄🚀
#DjangoConEuroppe #DjangoCon #Django #FacetedSearch #FullTextSearxh
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Alex Henman is presenting the talk "Beyond faceted search" at the DjangoCon Europe 2023 in Edinburgh 🏴🦄🚀
#DjangoConEuroppe #DjangoCon #Django #FacetedSearch #FullTextSearxh
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Alex Henman is presenting the talk "Beyond faceted search" at the DjangoCon Europe 2023 in Edinburgh 🏴🦄🚀
#DjangoConEuroppe #DjangoCon #Django #FacetedSearch #FullTextSearxh
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Problem with Xanadu is that it conflates critical issues, stubbornly -- IMHO.
For instance, it talks about bi-directional links while failing to connect the concept to an entity relationship graph where links denote relationship types.
A so-called bi-direction link in just an inverse relationship type.
Xanadu also conflates structured data presentation and representation.
/cc @eb
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Problem with Xanadu is that it conflates critical issues, stubbornly -- IMHO.
For instance, it talks about bi-directional links while failing to connect the concept to an entity relationship graph where links denote relationship types.
A so-called bi-direction link in just an inverse relationship type.
Xanadu also conflates structured data presentation and representation.
/cc @eb
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Problem with Xanadu is that it conflates critical issues, stubbornly -- IMHO.
For instance, it talks about bi-directional links while failing to connect the concept to an entity relationship graph where links denote relationship types.
A so-called bi-direction link in just an inverse relationship type.
Xanadu also conflates structured data presentation and representation.
/cc @eb
-
Problem with Xanadu is that it conflates critical issues, stubbornly -- IMHO.
For instance, it talks about bi-directional links while failing to connect the concept to an entity relationship graph where links denote relationship types.
A so-called bi-direction link in just an inverse relationship type.
Xanadu also conflates structured data presentation and representation.
/cc @eb
-
Problem with Xanadu is that it conflates critical issues, stubbornly -- IMHO.
For instance, it talks about bi-directional links while failing to connect the concept to an entity relationship graph where links denote relationship types.
A so-called bi-direction link in just an inverse relationship type.
Xanadu also conflates structured data presentation and representation.
/cc @eb
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Some playful and quite useful fun stuff from my #LODCloud community colleagues:
[1] https://uri4uri.is4.site/ -- URI4URI Home Page
[2] https://uri4uri.is4.site/service.html/http -- about the #HTTP protocol
[3] https://my.data.is4.site/describe/?url=http://my.data.is4.site/people/is4 -- about the current project owner
In a nutshell, this is what a machine-computable entity relationship graph about key protocols that drive the #Web and #Internet.
Just click to explore 😀
#KnowledgeGraph #SemanticWeb #Web30 #FacetedSearch #VirtuosoRDBMS
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Some playful and quite useful fun stuff from my #LODCloud community colleagues:
[1] https://uri4uri.is4.site/ -- URI4URI Home Page
[2] https://uri4uri.is4.site/service.html/http -- about the #HTTP protocol
[3] https://my.data.is4.site/describe/?url=http://my.data.is4.site/people/is4 -- about the current project owner
In a nutshell, this is what a machine-computable entity relationship graph about key protocols that drive the #Web and #Internet.
Just click to explore 😀
#KnowledgeGraph #SemanticWeb #Web30 #FacetedSearch #VirtuosoRDBMS
-
Some playful and quite useful fun stuff from my #LODCloud community colleagues:
[1] https://uri4uri.is4.site/ -- URI4URI Home Page
[2] https://uri4uri.is4.site/service.html/http -- about the #HTTP protocol
[3] https://my.data.is4.site/describe/?url=http://my.data.is4.site/people/is4 -- about the current project owner
In a nutshell, this is what a machine-computable entity relationship graph about key protocols that drive the #Web and #Internet.
Just click to explore 😀
#KnowledgeGraph #SemanticWeb #Web30 #FacetedSearch #VirtuosoRDBMS
-
Some playful and quite useful fun stuff from my #LODCloud community colleagues:
[1] https://uri4uri.is4.site/ -- URI4URI Home Page
[2] https://uri4uri.is4.site/service.html/http -- about the #HTTP protocol
[3] https://my.data.is4.site/describe/?url=http://my.data.is4.site/people/is4 -- about the current project owner
In a nutshell, this is what a machine-computable entity relationship graph about key protocols that drive the #Web and #Internet.
Just click to explore 😀
#KnowledgeGraph #SemanticWeb #Web30 #FacetedSearch #VirtuosoRDBMS
-
Some playful and quite useful fun stuff from my #LODCloud community colleagues:
[1] https://uri4uri.is4.site/ -- URI4URI Home Page
[2] https://uri4uri.is4.site/service.html/http -- about the #HTTP protocol
[3] https://my.data.is4.site/describe/?url=http://my.data.is4.site/people/is4 -- about the current project owner
In a nutshell, this is what a machine-computable entity relationship graph about key protocols that drive the #Web and #Internet.
Just click to explore 😀
#KnowledgeGraph #SemanticWeb #Web30 #FacetedSearch #VirtuosoRDBMS
-
The New York Times (#NYT) hasn't acted on its own #Fediverse instance just yet. That said, it has always offered #RSS feeds via:
Unfortunately, they haven't implemented RSS auto-discovery via article pages which makes these feeds hard to find.
Links showing what's possible re feed processing:
1. http://linkeddata.uriburner.com/describe/?url=http%3A%2F%2Flinkeddata.uriburner.com%2Fproxy-iri%2F37db536441b0e67271bcd4537fe8e008774e3e54 -- #FacetedSearch
2. https://cloud.hasura.io/public/graphiql?endpoint=https%3A%2F%2Flinkeddata.uriburner.com%2Fgraphql&query=query+MyQuery+%7B%0A++DataFeedItems%28contains%3A+%22ChatGPT+and+Other+Chat+Bots%22%29+%7B%0A++++datePublished%0A++++dateCreated%0A++++name%0A++++description%0A++++about%0A++++mainEntityOfPage%0A++++url%0A++%7D%0A%7D%0A -- #GraphQL Query
#LinkedData #DataConnectivity #OpenWeb #KnowledgeGraph #VirtuosoRDBMS #UseCase
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The New York Times (#NYT) hasn't acted on its own #Fediverse instance just yet. That said, it has always offered #RSS feeds via:
Unfortunately, they haven't implemented RSS auto-discovery via article pages which makes these feeds hard to find.
Links showing what's possible re feed processing:
1. http://linkeddata.uriburner.com/describe/?url=http%3A%2F%2Flinkeddata.uriburner.com%2Fproxy-iri%2F37db536441b0e67271bcd4537fe8e008774e3e54 -- #FacetedSearch
2. https://cloud.hasura.io/public/graphiql?endpoint=https%3A%2F%2Flinkeddata.uriburner.com%2Fgraphql&query=query+MyQuery+%7B%0A++DataFeedItems%28contains%3A+%22ChatGPT+and+Other+Chat+Bots%22%29+%7B%0A++++datePublished%0A++++dateCreated%0A++++name%0A++++description%0A++++about%0A++++mainEntityOfPage%0A++++url%0A++%7D%0A%7D%0A -- #GraphQL Query
#LinkedData #DataConnectivity #OpenWeb #KnowledgeGraph #VirtuosoRDBMS #UseCase
-
The New York Times (#NYT) hasn't acted on its own #Fediverse instance just yet. That said, it has always offered #RSS feeds via:
Unfortunately, they haven't implemented RSS auto-discovery via article pages which makes these feeds hard to find.
Links showing what's possible re feed processing:
1. http://linkeddata.uriburner.com/describe/?url=http%3A%2F%2Flinkeddata.uriburner.com%2Fproxy-iri%2F37db536441b0e67271bcd4537fe8e008774e3e54 -- #FacetedSearch
2. https://cloud.hasura.io/public/graphiql?endpoint=https%3A%2F%2Flinkeddata.uriburner.com%2Fgraphql&query=query+MyQuery+%7B%0A++DataFeedItems%28contains%3A+%22ChatGPT+and+Other+Chat+Bots%22%29+%7B%0A++++datePublished%0A++++dateCreated%0A++++name%0A++++description%0A++++about%0A++++mainEntityOfPage%0A++++url%0A++%7D%0A%7D%0A -- #GraphQL Query
#LinkedData #DataConnectivity #OpenWeb #KnowledgeGraph #VirtuosoRDBMS #UseCase
-
The New York Times (#NYT) hasn't acted on its own #Fediverse instance just yet. That said, it has always offered #RSS feeds via:
Unfortunately, they haven't implemented RSS auto-discovery via article pages which makes these feeds hard to find.
Links showing what's possible re feed processing:
1. http://linkeddata.uriburner.com/describe/?url=http%3A%2F%2Flinkeddata.uriburner.com%2Fproxy-iri%2F37db536441b0e67271bcd4537fe8e008774e3e54 -- #FacetedSearch
2. https://cloud.hasura.io/public/graphiql?endpoint=https%3A%2F%2Flinkeddata.uriburner.com%2Fgraphql&query=query+MyQuery+%7B%0A++DataFeedItems%28contains%3A+%22ChatGPT+and+Other+Chat+Bots%22%29+%7B%0A++++datePublished%0A++++dateCreated%0A++++name%0A++++description%0A++++about%0A++++mainEntityOfPage%0A++++url%0A++%7D%0A%7D%0A -- #GraphQL Query
#LinkedData #DataConnectivity #OpenWeb #KnowledgeGraph #VirtuosoRDBMS #UseCase
-
The New York Times (#NYT) hasn't acted on its own #Fediverse instance just yet. That said, it has always offered #RSS feeds via:
Unfortunately, they haven't implemented RSS auto-discovery via article pages which makes these feeds hard to find.
Links showing what's possible re feed processing:
1. http://linkeddata.uriburner.com/describe/?url=http%3A%2F%2Flinkeddata.uriburner.com%2Fproxy-iri%2F37db536441b0e67271bcd4537fe8e008774e3e54 -- #FacetedSearch
2. https://cloud.hasura.io/public/graphiql?endpoint=https%3A%2F%2Flinkeddata.uriburner.com%2Fgraphql&query=query+MyQuery+%7B%0A++DataFeedItems%28contains%3A+%22ChatGPT+and+Other+Chat+Bots%22%29+%7B%0A++++datePublished%0A++++dateCreated%0A++++name%0A++++description%0A++++about%0A++++mainEntityOfPage%0A++++url%0A++%7D%0A%7D%0A -- #GraphQL Query
#LinkedData #DataConnectivity #OpenWeb #KnowledgeGraph #VirtuosoRDBMS #UseCase
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The #JSON file represents an accounts #ActivityStream covering a variety of activities.
This makes @Mastodon content highly accessible and interoperable with other productivity tools.
In my case, the JSON and #RSS data ends up in a #DataSpace that can be queried using full-text search patterns, #FacetedSearch, #SQL, #SPARQL, and #GraphQL.
/cc @judell
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The #JSON file represents an accounts #ActivityStream covering a variety of activities.
This makes @Mastodon content highly accessible and interoperable with other productivity tools.
In my case, the JSON and #RSS data ends up in a #DataSpace that can be queried using full-text search patterns, #FacetedSearch, #SQL, #SPARQL, and #GraphQL.
/cc @judell
-
The #JSON file represents an accounts #ActivityStream covering a variety of activities.
This makes @Mastodon content highly accessible and interoperable with other productivity tools.
In my case, the JSON and #RSS data ends up in a #DataSpace that can be queried using full-text search patterns, #FacetedSearch, #SQL, #SPARQL, and #GraphQL.
/cc @judell
-
The #JSON file represents an accounts #ActivityStream covering a variety of activities.
This makes @Mastodon content highly accessible and interoperable with other productivity tools.
In my case, the JSON and #RSS data ends up in a #DataSpace that can be queried using full-text search patterns, #FacetedSearch, #SQL, #SPARQL, and #GraphQL.
/cc @judell
-
The latest edition of the #Wikidata #KnowledgeGraph deployed using our #VirtuosoRDBMS is now live.
Links:
[1] https://community.openlinksw.com/t/loading-the-wikidata-truthy-dataset-into-virtuoso-open-source-edition/3503 -- How it was built
[2] https://wikidata-truthy.demo.openlinksw.com/sparql -- Live #SPARQL Endpoint
[3] https://wikidata-truthy.demo.openlinksw.com/fct -- Live #FacetedSearch and #FacetedBrowsing Endpoint
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The latest edition of the #Wikidata #KnowledgeGraph deployed using our #VirtuosoRDBMS is now live.
Links:
[1] https://community.openlinksw.com/t/loading-the-wikidata-truthy-dataset-into-virtuoso-open-source-edition/3503 -- How it was built
[2] https://wikidata-truthy.demo.openlinksw.com/sparql -- Live #SPARQL Endpoint
[3] https://wikidata-truthy.demo.openlinksw.com/fct -- Live #FacetedSearch and #FacetedBrowsing Endpoint
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The latest edition of the #Wikidata #KnowledgeGraph deployed using our #VirtuosoRDBMS is now live.
Links:
[1] https://community.openlinksw.com/t/loading-the-wikidata-truthy-dataset-into-virtuoso-open-source-edition/3503 -- How it was built
[2] https://wikidata-truthy.demo.openlinksw.com/sparql -- Live #SPARQL Endpoint
[3] https://wikidata-truthy.demo.openlinksw.com/fct -- Live #FacetedSearch and #FacetedBrowsing Endpoint
-
The latest edition of the #Wikidata #KnowledgeGraph deployed using our #VirtuosoRDBMS is now live.
Links:
[1] https://community.openlinksw.com/t/loading-the-wikidata-truthy-dataset-into-virtuoso-open-source-edition/3503 -- How it was built
[2] https://wikidata-truthy.demo.openlinksw.com/sparql -- Live #SPARQL Endpoint
[3] https://wikidata-truthy.demo.openlinksw.com/fct -- Live #FacetedSearch and #FacetedBrowsing Endpoint
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The latest edition of the #Wikidata #KnowledgeGraph deployed using our #VirtuosoRDBMS is now live.
Links:
[1] https://community.openlinksw.com/t/loading-the-wikidata-truthy-dataset-into-virtuoso-open-source-edition/3503 -- How it was built
[2] https://wikidata-truthy.demo.openlinksw.com/sparql -- Live #SPARQL Endpoint
[3] https://wikidata-truthy.demo.openlinksw.com/fct -- Live #FacetedSearch and #FacetedBrowsing Endpoint
-
Coming to think of it, is there a clear path for us deploying a more real-time variant of our #Wikidata snapshot?
#SPARQL endpoint:
https://wikidata.demo.openlinksw.com/sparql#FacetedSearch endpoint:
https://wikidata.demo.openlinksw.com/fct -
Coming to think of it, is there a clear path for us deploying a more real-time variant of our #Wikidata snapshot?
#SPARQL endpoint:
https://wikidata.demo.openlinksw.com/sparql#FacetedSearch endpoint:
https://wikidata.demo.openlinksw.com/fct -
Coming to think of it, is there a clear path for us deploying a more real-time variant of our #Wikidata snapshot?
#SPARQL endpoint:
https://wikidata.demo.openlinksw.com/sparql#FacetedSearch endpoint:
https://wikidata.demo.openlinksw.com/fct -
Coming to think of it, is there a clear path for us deploying a more real-time variant of our #Wikidata snapshot?
#SPARQL endpoint:
https://wikidata.demo.openlinksw.com/sparql#FacetedSearch endpoint:
https://wikidata.demo.openlinksw.com/fct -
Coming to think of it, is there a clear path for us deploying a more real-time variant of our #Wikidata snapshot?
#SPARQL endpoint:
https://wikidata.demo.openlinksw.com/sparql#FacetedSearch endpoint:
https://wikidata.demo.openlinksw.com/fct -
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
-
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
-
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