#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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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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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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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
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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
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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
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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
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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
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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
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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