#SPARQL

@groms Rails ORM generate SQL to populate its models, i.e. there is SQL behind everything. Unified filters makes generating this (massive amount) of SQL feasible across tthe relative complexity of the models in TaxonWorks. Would love to know if there is a similar layer that makes #sparql possible while still serving app dev needs.

@openlink

Woot!

Another update for the #VirtuosoRDBMS (Open Source Edition) is here! Keep in mind that all my live demonstrations, whether they use #SPARQL or #SQL to fine-tune #ChatGPT, are also compatible with this edition (for example, the 100 billion+ #Uniprot instance-related demos at: https://community.openlinksw.com/t/using-sparql-query-templates-to-fine-tune-chatgpts-large-language-model-llm/3842/5).

#RDF #GraphDatabase #SPARQL #LinkedData #SQL #GraphQL #SemanticWeb #KnowledgeGraph

**Problem:**
#LLM based #SmartAgent solutions like #ChatGPT are fantastic natural language processors, but challenged by unpredictable guessing.

**Solution:**
Fine-tune using #SPARQL query templates and a #LODCloud #KnowledgeGraph like @Uniprot.

https://community.openlinksw.com/t/using-sparql-query-templates-to-fine-tune-chatgpts-large-language-model-llm/3842/5#uniprot-knowledge-graph-chatgpt-fine-tuning-using-sparql-1

#SemanticWeb #LinkedData #HowTo #LLMs #Uniprot #Bioinformatics #Genomics #MolecularBiology #LifeSciences

@jk the #SPARQL endpoint at https://vocabs-sparql.acdh.oeaw.ac.at is also down, seemingly after a re-install of their Apache HTTP server

Incase you missed it, Simon in our latest #TechTalk blog post talks about his experiences implementing a GraphQL API for a Graph Database using Kotlin and an RDF graph database like Fuseki.

https://www.epimorphics.com/implementing-graphql-api-for-graphdatabase/

#TechTalk #GraphQL #GraphDatabase #SPARQL #Kotlin #RDF #Fuseki.

On this #DayOfDH2023 we're delighted to announce the addition of over 2,000 editions to the #OpenScholarship and #DSE platform #PRISMS. Read more about the project here:

https://www.prisms.digital/

@DayofDH #DayofDH #SemanticWeb #LOD #RDF #SPARQL #ontologies #KnowledgeBase

#ChatGPT funktioniert sehr gut auch für #Wikidata #SPARQL-Queries. Das erleichtert den Einstieg schon sehr. Damit kann man sich aufs Verfeinern der Queries konzentrieren und muss selbst keine Queries from scratch schreiben oder sich in den QueryBuilder einfuchsen. Hier z.B. ein Query, der Skulpturen in deutschen Museen ohne Inventarnummer ausgibt, gruppiert nach Museen: https://w.wiki/6mey

@anyaso This week’s highlights include “project closure” on #RMFI (we speak in acronyms in these parts), all the latest news on our parliamentary search replacement, #generalelection preparations in general (and #boundarychanges in particular), #treaty procedure updates, some #SPARQL snaggles, egg timer integration (if you don’t know now, you never will), late breaking bishopric news and some trouble we’ve been having with twitter’s new owner.

Claus Stadler is presenting their work behind SANSA: 'Scaling RML and SPARQL-based Knowledge Graph Construction with Apache Spark' now at the Knowledge Graph Construction Workshop!

#ESWC2023 #KGCW2023 #RML #SPARQL #ApacheSpark @eswc_conf @aksw

Towards a Mapping Framework for the Tenders Electronic Daily Standard Forms by Alexandros Vassiliades is now live at the Knowledge Graph Construction Workshop!

#ESWC2023 #KnowledgeGraph #RDF #SemanticWeb #RML #R2RML #SPARQL #SHACL @eswc_conf

I will be at @eswc_conf 2023 as part of the organizing committee of the #KnowledgeGraph #Construction #Workshop!

However, I'm not alone! Check out the papers of #KNoWS at #ESWC2023: https://knows.idlab.ugent.be/news/eswc2023/

#RDF #RML #SPARQL #reasoning #streaming #querying
@hochstenbach

#PerplexityAI provides a cool productivity tool for interacting with the #GPT4 #LLM that enables me share my session using hyperlinks.

Courtesy of the service provided by perplexity.ai, the process is now reduced to:

1. Write prompt and execute
2. Share session link.

Example covering LLM fine-tuning examples using #SPARQL templates.

[1] https://www.perplexity.ai/search/6543ca49-14c6-4b44-89b3-61f0abf7b1f9?s=c -- exploring Recipes collated in our #URIBurner Knowledge Graph

#SemanticWeb #ChatGPT #AGI #AI #LinkedData

How to use #SQL query templates to fine-tune #ChatGPT.

https://community.openlinksw.com/t/howto-fine-tuning-chatgpt-using-sql/3862

All possible because of the underlying architecture of our multi-model #VirtuosoRDBMS equipped with native #HTTP support.

#SemanticWeb #SPARQL #DBMS #RDBMS #LinkedData #CDO #CIO #CTO #AGI

@simon_lucy I purposely display the content of the FAQ page in two different screenshots, showing a total of 10 questions. The objective of this exercise was to demonstrate that in an aspect of a #Web that manifests a Giant Global Entity Relationship Graph constructed from hyperlinks (a/k/a a Semantic Web), you can leverage the combined prowess of #ChatGPT and the #SPARQL query language (an HTTP-based query language, wire protocols, and serialization formats combo) for precise discovery😀

However, when #Wikidata emerged, I wanted to connect my database with it. Before two years, I tried to store SMW in #Blazegraph but I made a bad experience with it. When the power went off, it led to fatal error and problem to boot.

Two months ago, I tried a second attempt, with #Virtuoso for this time. It runs without problems.

Now, I can make #sparql queries, however it is quite complicated, e.g. to query properties and pages with longer string names.

https://www.w3.org/blog/news/archives/9906

New #rdf and #sparql stuff in the works. 😄😄😄

Comparative web page crawling exercise, taking into account the following factors:

[1] The emergence of a #SemanticWeb where web pages increasingly embed RDF-based structured data islands as enhanced metadata.

[2] The web crawling functionality provided by #ChatGPT, #Bing, and #Bard.

[3] #SPARQL-based fine-tuning of #GPT #LLMs

Read: https://community.openlinksw.com/t/howto-web-crawling-via-bard-bing-gpt-chatgpt-and-chatgpt-virtuoso-sponger/3852

#VirtuosoRDBMS #LinkedData #RDF #HowTo #Comparison

Here's a post demonstrating what I mean regarding #Ontology generation and usage.

https://community.openlinksw.com/t/using-sparql-query-templates-to-fine-tune-chatgpts-large-language-model-llm/3842/2#transcript-1

Yes! It generates an Ontology (or #Vocabulary) for the #SPARQL query templates used to fine-tune the #GPT4 #LLM used in my #HowTo.

#SemanticWeb #LinkedData #ChatGPT

Being able to utilize #SPARQL Query Templates to *fine-tune* #ChatGPT (3.5 or 4.0) is a remarkably powerful and delightful surprise!

See why and how.

https://community.openlinksw.com/t/using-sparql-query-templates-to-fine-tune-chatgpts-large-language-model-llm/3842

#LinkedData #SemanticWeb #HowTo #KnowledgeGraph

There's a powerful symbiosis between #ChatGPT a #SemanticWeb (public or private) that is not immediately apparent. This symbiosis exists because ChatGPT is inherently data-dependent, while a Semantic Web consists of boundless structured data constructed using machine-computable entity relationship types that are constructed from hyperlinks.

Here's a new #HowTo and live demos centric post about this issue.

https://community.openlinksw.com/t/howto-querying-knowledge-graphs-across-the-web-using-chatgpt-sparql/3836

#SPARQL #LinkedData #VirtuosoRDBMS #LLMs #KnowledgeGraph

Q: Can I fine-tune #ChatGPT using #SPARQL such that it basically becomes a #SmartAgent capable of querying across the massive #LODCloud #KnowledgeGraph, using natural language?

Yes!

Read: https://community.openlinksw.com/t/howto-chat-gpt-and-dbpedia-sparql-query-generation-from-natural-language-prompts/3823 -- which covers a basic example using #DBpedia (#Wikidata content in machine-computable and queryable form).

#SemanticWeb #LinkedData #JSONL #RDF #LLMs #DBpedia #VirtuosoRDBMS #JSONL

Here's a reusable #ChatGPT transcript regarding clickable #SPARQL query solution page generation using #Bing.

https://community.openlinksw.com/t/howto-chat-gpt-and-dbpedia-sparql-query-generation-from-natural-language-prompts/3823#generating-clickable-dbpedia-sparql-query-solution-page-link-using-bingchatgpt-service-1

#HowTo #DBpedia #SemanticWeb #LinkedData #VirtuosoRDBMS

Another #SemanticWeb + #ChatGPT showcase:

Executing a #SPARQL query (informed by a template) without a plugin across the #LODCloud, courtesy of #LinkedData principles.

https://community.openlinksw.com/t/howto-chat-gpt-and-dbpedia-sparql-query-generation-from-natural-language-prompts/3823/2

#HowTo #KnowledgeGraph #AI #AGI #DBpedia

La requête #SPARQL du jour : les pays pour lesquels le titre de l'article Wikipédia en français comporte des parenthèses

https://w.wiki/6fWP

(Si j'ai l'énergie dimanche j'en fais un billet #SundayQuery, ça fait longtemps)

#SPASQL is how our #VirtuosoRDBMS enables declarative operations on data organized as tables or graphs via #SPARQL inside #SQL.

What are the benefits?

[1] Ubiquitous Data Source Names (#DSNs), courtesy of #HTTP

[2] Fine-grained entity relationship graph comprising clickable edges and nodes that function as #SuperKeys

#ChatGPT knows SPASQL too!

https://community.openlinksw.com/t/howto-using-chat-gpt-to-generate-enhanced-sql-and-sparql-cheatsheets/3818/2#sparql-inside-sql-spasql-example-1

#SemanticWeb #LinkedData #GraphDatabase #DBMS #RDBMS #CDO #CIO #CTO #DataOps #DBpedia #LODCloud #KnowledgeGraph #HowTo

@yokofakun You can try the #LODCloud cache we host via its #SPARQL endpoint at:
http://lod.openlinksw.com/sparql .

Mondo is loaded there, as per:
https://tinyurl.com/3tfshk6z

#VirtuosoRDBMS #LinkedData #KnowledgeGraph

@yokofakun,

Don't you have a live #SPARQL endpoint to test against?

#ChatGPT is a powerful tool for acquiring new skills productively while also reinforcing what exists.

In a new post, I provide a ChatGPT transcript comprising prompts that generate #SQL and #SPARQL #Cheatsheets enhanced using hyperlinks.

https://community.openlinksw.com/t/howto-using-chat-gpt-to-generate-enhanced-sql-and-sparql-cheatsheets/3818

#DBMS #Database #HowTo #LinkedData #DBpedia #Northwind #VirtuosoRDBMS

answer from #chatgpt (not tested) #sparql

=====================

SELECT DISTINCT ?diseaseLabel ?geneLabel ?relationLabel
WHERE {
?diseaseSubClass rdfs:subClassOf* mondo:0004995 .
?diseaseSubClass rdfs:label ?diseaseLabel .
?diseaseSubClass ?relation ?gene .
?gene rdfs:label ?geneLabel .
?relation rdfs:label ?relationLabel .
FILTER (?relation = obo:RO_0003302 || ?relation = obo:BFO_0000051)
}
ORDER BY ?geneLabel

I'm playing with mondo https://github.com/monarch-initiative/mondo/ . Is there any example of #sparql queries somewhere ? I'm looking for "find all the ?GENE linked to ?DISEASE" (and the subClasses of that disease).
Say; "I want all the genes linked to cardiac diseases"

#sparql #rdf #semanticweb #bioinformatics #gene #disease

After all those years, WHY didn't you tell me about recursive queries in #SPARQL that find all the descendants of a term in an ontology? https://gist.github.com/lindenb/2b0239f2237ce835fe2d2ddfc9ebeb02

#rdf #go #geneontology #bioinformatics

@JanWillemTulp When I still followed it more closely, I always thought the #SPARQL language spec itself did a pretty good job explaining the basics:

https://www.w3.org/TR/sparql11-query/

The O'Reilly book is great (by @bobdc), I think there was a free version too (though couldn't find it now):
https://www.oreilly.com/library/view/learning-sparql-2nd/9781449371449/

Other online tutorials:

https://docs.data.world/tutorials/sparql/primer_intro.html
https://docs.stardog.com/getting-started-series/getting-started-1#introduction-to-sparql
https://medium.com/virtuoso-blog/dbpedia-basic-queries-bc1ac172cc09

Albeit not really SPARQL (but _very_ closely related, only with "Clojurified" syntax & semantics), some of my older linked data projects have some related examples too (also showing to rule-based inference to synthesize additional indirect relationships):

https://github.com/thi-ng/trio/blob/master/src/query.org
https://github.com/thi-ng/fabric/blob/master/fabric-facts/src/dsl.org

Hth!

Wikidata Queries can generate timelines of when artworks owned by someone with some kind of link to a claim for restitution entered museum collections.
This query is filtered for after 1932 and for six museums only.

Try it!
https://w.wiki/6d48

#wikidata #histodon #digitalhumanities #linkeddata #museum #provenance #Sparql #timeline #art #arthistory #dataviz #jewish #history

It's actually pretty easy to flag Art Looting #RedFlag Names in the provenances and references for artworks held in museums.
Odd, really, that #museums haven't done so.
#Gallery

Any #learning #course on #provenance #research should detail what could be done that has not been done.

Here's a #Sparql #Query in #Wikidata that shows some of the paintings once owned by Red Flag Names

https://w.wiki/6cWa

link to query
https://w.wiki/6cWZ

@histodons
#histodons #art #history #museum

#SIB Preprint on the power and limitations of #AI #chatbots such as #chatgpt to understand #SPARQL federated queries over #UniProt, #OMA and #Bgee https://arxiv.org/abs/2304.10427

First time putting #ChatGPT to actual use. I needed #SPARQL to create an #URL slug, but was to lazy to think. It was incomplete at first, but after asking to add more chars, it turned out to be a huge time saver. #rdf #knowledgegraph

New preprint, where we discuss various approaches to knowledgebase interoperability based on our experience at @bgeedb:
Boosting interoperability: towards an increasingly reusable bioinformatics knowledge base
https://arxiv.org/abs/2303.12329
#bioinformatics #knowledgebase #interoperability #ontology #SQL #SPARQL #SIB @monarch_initiative @wikidata

Active #SPARQL Query Services across the #LODCloud, courtesy of a #Wikibase query:

[1] https://tinyurl.com/2h7dze9u -- Tables
[2] https://tinyurl.com/2h7dze9u -- Bubble Chart

A SPARQL Query Service endpoint provides access to an #HTTP-based Query Language, Wire Protocol, and Negotiable Serialization Format combo that's fully understood by #ChatGPT.

#SemanticWeb #LinkedData #KnowledgeGraph

Woot!

A brand new cut of #DBpedia that places #HTTP client apps and services right at the core of the massive #LODCloud #KnowledgeGraph.

Also note, in this revitalized #SemanticWeb era, #ChatGPT understand DBpedia -- pretty well :)

#GraphDatabase #DBMS #VirtuosoRDBMS #Web30 #SPARQL

/cc @openlink @pkleef

Does anyone out there in Masto-land know a enterprise resource planning (#ERP) or inventory management system where the types of the inventoried items can be defined by #SPARQL queries to #Wikidata?

Long story short, what I'm looking to do is have #laboratory inventory management via a web/mobile/desktop app, but define/ingest the characteristics of the individuals in the inventory via Wikidata, using individuals like this:
https://www.wikidata.org/wiki/Q117161609

Any ideas? Plz boost if it could help!

#RDFLob version 6.3.0 is out. We use it a lot in #python #jupyternotebook for analyzing data in the different #SwissProt #SPARQL #graph #databases. https://pypi.org/project/rdflib/6.3.0/

@jackgilmore Great!

Here's a query results page reusing your query (using generic #SPARQL) against our #VirtuosoRDBMS hosted #Wikidata instance.

https://tinyurl.com/ynpykdx9

Note, @datasniff is the tool used for query editing directly from the current query results page.

#LinkedData #SemanticWeb #DBpedia #KnowledgeGraph

@jackgilmore,

Why not copy and paste the #SPARQL generated to the live #Wikidata endpoint's UI to see if it works?

@WikidataFacts @wikidata,

Nice #Wikidata use-case demo.

SeeAlso, using our #VirtuosoRDBMS hosted edition of Wikidata.

https://tinyurl.com/mtz8a2j2

#SPARQL #Wikidata #LinkedData #SemanticWeb #KnowledgeGraph

ref. previous boost — LLM fine-tuned on #Wikidata #SPARQL queries...? :fox_think:​

please save me from having to learn SPARQL..

Writing #Wikidata #SPARQL queries may have just became a lot easier thanks to #ChatGPT

Bin ganz begeistert vom #SPARQL - #Workshop auf der #DHd2023 Ein paar Sachen haben sogar geklappt (yeah!). Ich bin begeistert von den Möglichkeiten und überlege, wie ich das in der Lehre einsetzen kann.
Großen Dank an das #MiMoText Workshop Team 👏👏👏
@MariaHinzmann @christof @naudgnit et al (habe nicht alle gefunden) für einen wahrlich erhellenden Auftakt zur @DHdKonferenz

Nur noch 3 Tage bis zum Start der #DHd2023! 🤩
Am Mo gibt das #MiMoText-Team des @tcdh in Belval den Workshop "SPARQL für (digitale) Geisteswissenschaftler:innen". Wir haben auch ein online-#SPARQL-Tutorial erstellt, in das man bereits hineinschauen kann: https://docs.mimotext.uni-trier.de. 🙂

The new release of Ontop 5.0.2 adds

- six more data sources (Trino, PrestoDB, AWS Athena, AWS RedShift, Google BigQuery, DuckDB)
- an option for accelerating the materialization into triples
- better support for developing new connectors.

More details on https://ontop-vkg.org/guide/releases.html#_5-0-2-march-9-2023

#RDF #SemTech #SPARQL #KnowledgeGraph

@bobwyman,

I shared several links that will take you into a #SPARQL endpoint (https://linkeddata.uriburner.com/sparql) scoped to a live #KnowledgeGraph that can be populated progressively.

Why not use that to create an actual sample query?

/cc @J12t @datasniff

@bobwyman @J12t @datasniff Bearing in mind the abundance of publicly accessible #SPARQL Query Service endpoints, you can craft a query that satisfies the conditions of interest to you. In addition, you can just share a query URL for discussion, evaluation, and revision.

[1] https://linkeddata.uriburner.com -- 666,964,325 Triples (right now)
[2] http://lod.openlinksw.com/sparql -- 45 Billion Triples
[3] https://sparql.uniprot.org -- 100 Billion+ Triples

SPARQL Query Example: https://tinyurl.com/4kanhcd9

#SemanticWeb

@bobwyman,

There is a complete provenance trail for all the data in my #SemanticWeb example.
Examples plus associated screenshot.

[1] https://linkeddata.uriburner.com/fct/rdfdesc/usage.vsp?g=https%3A%2F%2Fmastodon.social%2F@kidehen%2F109988767647091079&tp=1

[2] 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%2250%22%3E%3Ctext%3E%23SemanticWeb%3C%2Ftext%3E%3Cview%20type%3D%22text-d%22%20limit%3D%2250%22%20offset%3D%22%22%20%2F%3E%3C%2Fquery%3E&timeout=16000 -- 2,765 pages comprising items and Named Graphs (data sources) for "#SemanticWeb" text pattern

That's also obtainable via a #SPARQL query that includes Named Graph Identifiers in the solution output.

/cc @J12t @datasniff

#LinkedData #UseCase

@bobwyman @J12t Yes, a #SemanticWeb user-agent can handle that.

For example, the sponger #middleware module of our #VirtuosoRDBMS can do that.

Re Prospective Search, the focal point is variables in the body of a #SPARQL query that satisfy conditions expressed in relations.

A query solution can always optionally include document identifiers (a/k/a named graphs).

Example: https://tinyurl.com/4kwzvu28

#LinkedData

#DEXPI the 😎 -est about this open standard for data exchange is, #rdf is already integrated and shipped with, so #KnowledgeGraph #SPARQL already here 🥰

@KevinMarks @anildash @atomicpoet That's but one interpretation, for a specific purpose.

I just posted a #SPARQL that just deals with the raw #JSONLD (the content format of #ActivityStreams docs).

@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

@evan,

We (@openlink) are working on stuff from the #LinkedData and #SPARQL perspectives that include hooks into voice and text via CHAT-GPT shortcuts.

#gptChat

alright I'm about to start working on some #LinkedData / #Graph-based p2p stuff, I am gonna spend some time digging deeper into #SPARQL, and I'm wondering if anyone can point me to any writing (blogs, papers, posts all good) on the good and bad from both a design and implementation POV. I can read the docs, but would like to learn the meta surrounding it from starry-eyed idealists and cranky engineers alike. Boosts for visibility welcome :)

There are eight glaciers named after characters in Moby-Dick.

Wikidata query: https://w.wiki/6EJ5

#Wikidata #SPARQL #MobyDick #WDQS

Cheeses named after towns according to @wikidata: https://w.wiki/6CBD

#wikidata #sparql

Here's a #screencast demonstrating how #gptChat generated accurate #RDF from a text snippet in a blog post about how to use the @openlink #ODBC Driver for #PostgreSQL on #macOS.

https://youtu.be/FZc4a6RCSnQ

Note, GPT-Chat is integrated into a soon to be released edition of our @datasniff browser extension.

/cc @Mastodon

#SemanticWeb #UseCase #SmartAgent #Web30 #SPARQL #DataConnectivity #LinkedData

What is this demonstrating, utility wise?

The fact that I can use a #SmartAgent like #gptChat to generate machine-computable structured data for upload to a knowledgebase (or #KnowledgeGraph).

Naturally, I can query said Knowledge Graph declaratively using #SQL, #SPARQL, or #GraphQL where query solutions also manifest in easy-to-reuse form e.g., #JSON, #CSV, etc..

SPARQL Example.
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%3Akidehen%3Agpt%3Asemweb%3Ademos%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

We are now in the Smart Agent stage re notion of a #SemanticWeb!

@davew,

I would hope an ability to query your #RSS and #OPML feeds directly using Text Search, #SQL, #GraphSQL, or #SPARQL would fit that bill re data flow and connectivity :)

Audience?
End-users, power-users, and developers who are happy to work with a #Hyperlink as a Data Source Name (#DSN).

App Examples?

1. Spreadsheets (#GoogleSpreadsheet, #Excel, #Airtable)
2. Various notebooks (#Jupyter, #Observablehq etc..)
3. Data Visualization Tools
4. Content Management
5. etc

/cc @judell

@davew,

What do you seek, interop wise, from a solution that supports #RSS or #OPML?

For instance, our products are able to achieve the following with OPML:

1. Generate a knowledgebase (or #KnowledgeGraph these days) "on the fly" using query languages such as #SQL, #SPARQL, #GraphQL

2. Content Subscription

Regarding RSS, it can do all of the above plus:

1. Publish query solutions in that format
2. Publish folder content

/cc @judell

@davew,

Here's yet another angle:

#RSS solves for publication and syndication of posts.

See: https://tinyurl.com/bdex5wys

#ActivityPub solves for Activity Streams which goes beyond posts.

See: https://tinyurl.com/2mxk3rjh

Ultimately, #HTTP software agents will be able to process structured data consuming either.

In my case, it all ends up in a #KnowledgeGraph (using a bookmarking-like interaction pattern). All the data is accessible via #SQL, #SPARQL, #GraphQL, etc..

/cc @AlexGizis @judell

@davew,

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

#OpenWeb

Do I reach anyone who has experience using #SPARQL with #SemanticMediaWiki #MediaWiki ? I have an endpoint set up but I truly do not know how to secure it or what best practices are at all. documentation seems very very slim.

Working title of my habilitation thesis 📗:

"Formal Representaion of Engineering Knowledge – the Example of Control Theory"

studied technologies: #OWL, #SPARQL, #WikiData, #ExistentialRules etc.

maintained projects: https://pysemtec.org/ (:python: #Python-related semantic technologies) and https://ackrep.org/ (automatic control knowledge repository :git:)

Also active @ @bits_und_baeume and related activities on 🌍

2/2

Find Semantic Web+ researchers on Mastodon! :BlobCatCoffee:

Follow the listing here:
https://semantisch.github.io/SemanticWeb//

Join the listing here as a researcher:
https://forms.gle/pjNmNG6xwzU28Y3o6

#SemanticWeb #KnowledgeGraph #LinkedData #LinkedOpenData #Ontology #KnowledgeRepresentation #Reasoning #RDF #SPARQL #OWL #SHACL #Wikidata #DBPedia #Solid

Other academics on Mastodon:
https://github.com/nathanlesage/academics-on-mastodon

Sign up for beta access to #Orb Open Graph, a private #Wikidata Query Service #SPARQL #API with ten minute query timeouts and additional #Wikibase graphs on demand for high-performance, big-data querying. Free to use during the beta. https://airtable.com/shr8PELLVfo4Yrwl0

#introductionfr en mode réactivation du compte framapiaf ouvert lors de la précédente vague...
#Archiviste #servicepublic très portée #GLAM #opendata #opencontent et #LOD .
Totalement addict à #wikidata et #openrefine (en lien avec #patrimoine, #histoire #histoiredesfemmes).
J'aime modifier les super requêtes #sparql de @belett ❤️ et faire des traductions (enrichies) pour #Wikipedia #LesSansPages

One particularly cool 😎 possibility to monitor the growth 📈 of #Mastodon :mastodon: :mastoblush: is to use #SPARQL to count the #Wikidata items with associated #Mastodon account:

https://query.wikidata.org/#SELECT%20%20%3Fitem%20%3FitemLabel%20%3Fmastoadress%0AWHERE%20%0A%7B%0A%20%20%3Fitem%20wdt%3AP4033%20%3Fmastoadress.%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%20%23%20Helps%20get%20the%20label%20in%20your%20language%2C%20if%20not%2C%20then%20en%20language%0A%7D%0A

Currently 1860 (≈ 4x the value of last october)