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Visualisation Lab now has a bunch of sample SPARQL queries (courtesy of d3sparql.js). Select from the drop-list on the right and run. You can edit the query or create one from scratch. Brought to life with
@Sveltejs#RDF#LinkedData and#SPARQL Live: https://visualisation-lab.now.sh/ -
Effects of a simple Custom Inference Rule defined using a
#SPARQL query that's applied to the#Dataset (or Named Graph) used in my Twitter#GraphAnalytics demos. http://linkeddata.uriburner.com/sparql?default-graph-uri=&query=DEFINE+input%3Amacro-lib+%27urn%3Aanalytics%3Aacqof%3Aspin%3Arule%27+%0D%0A%0D%0ASELECT+DISTINCT+COUNT%28%3Ffriend%29%0D%0A%0D%0AFROM+%3Curn%3Atwitter%3Aanalytics%3Aall%3E%0D%0AWHERE+%7B%0D%0A++++++++%3Fs+a+opltw%3AUser%3B+%0D%0A+++++++++++%3C%23hasFriend%3E+%3Ffriend.%0D%0A++++++%7D&should-sponge=&format=text%2Fhtml&CXML_redir_for_subjs=121&CXML_redir_for_hrefs=&timeout=30000000 … -- Inference Enabled http://linkeddata.uriburner.com/sparql?default-graph-uri=&query=%23+DEFINE+input%3Amacro-lib+%27urn%3Aanalytics%3Aacqof%3Aspin%3Arule%27+%0D%0A%0D%0ASELECT+DISTINCT+COUNT%28%3Ffriend%29%0D%0A%0D%0AFROM+%3Curn%3Atwitter%3Aanalytics%3Aall%3E%0D%0AWHERE+%7B%0D%0A++++++++%3Fs+a+opltw%3AUser%3B+%0D%0A+++++++++++%3C%23hasFriend%3E+%3Ffriend.%0D%0A++++++%7D&should-sponge=&format=text%2Fhtml&CXML_redir_for_subjs=121&CXML_redir_for_hrefs=&timeout=30000000 … -- Disabled (count is 0)#KnowledgeGraphpic.twitter.com/nKSkDU6O8E
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With
#datavisualization, many complex structures & relationships have the potential to become an easy-to-grasp message that speaks to a wider audience. Here's how to do it w/#OntoRefine: https://hubs.ly/H0mTWjT0#SPARQL#linkeddata#RDF -
A good short intro by
@FavioVaz on the importance of#knowledgegraph to derive meaning out of data: "[...] people don’t think in tables (like in traditional#RDBMS), but they do immediately understand graphs." https://hubs.ly/H0mTTCJ0#semantictechnology#LOD#SPARQL -
The latest edition of this Single Page App that uses
#SPARQL for Data Creation, Deletion, and Querying operations now includes support for permalinks. https://openlinksoftware.github.io/single-page-apps/data-entry-form.html?setInputs=true&subject=%5B%20a%20foaf%3APerson%20%3B%20%20foaf%3Aname%20%22Kingsley%20Idehen%22%5D&predicate=schema%3Aseeks&object=%5B%20a%20schema%3ASoftwareApplication%20%3B%20schema%3Aname%20%22OpenLink%20ODBC%20to%20JDBC%20Bridge%20Driver%22%20%3B%20%20%20schema%3Adescription%20%22%22%22A%20high-performance%20ODBC%20Driver%20for%20connecting%20to%20JDBC%20Data%20Sources.%20This%20Driver%20enables%20ODBC%20connectivity%20to%20existing%20ODBC-Compliant%20Applications%20from%20Data%20Sources%20that%20are%20JDBC-accessible.%22%22%22%40en%20%3B%20%20schema%3Acreator%20%3Chttp%3A%2F%2Fwww.openlinksw.com%2F%23this%3E%20%5D%20%2C%20%5B%20a%20schema%3ASoftwareApplication%20%3B%20%20schema%3Aname%20%22Virtuoso%20Universal%20Server%22%20%3B%20%20schema%3Adescription%20%22%22%22A%20high-performance%2C%20secure%2C%20and%20scalable%20platform%20for%20developing%2C%20deploying%2C%20and%20exploiting%20personal%20and%20enterprise%20Knowledge%20Graphs.%20%22%22%22%40en%20%3B%20%20schema%3Acreator%20%3Chttp%3A%2F%2Fwww.openlinksw.com%2F%23this%3E%5D&documentName=urn%3Arecords%3Atest&endpoint=https%3A%2F%2Flinkeddata.uriburner.com%2Fsparql … It can now be used to share specific form state via a#hyperlink.#LinkedData#KnowledgeGraphpic.twitter.com/Gb1kwh6sp5
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Published a detailed not about
#SQL Transitivity and#GraphAnalytics algorithms using our#VirtuosoRDBMS. https://community.openlinksw.com/t/graph-analytics-using-virtuosos-transitivity-extensions-to-sql/1514 … . Note: these capabilities have existed forever in our unique#DBMS platform :)#KnowledgeGraph#SPASQL#SPARQL#NoSQL#GraphDatabase#Database pic.twitter.com/0sxjzZ4MHh
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Second instalment in
@markhneedham 's#SPARQL adventures: Do you want your query to return a table or do you want a graph? SELECT vs CONSTRUCT. Spoiler warning for future episodes... yes, you can use both to enrich your#Neo4j Knowledge Graph with Wikidata ;-)https://twitter.com/markhneedham/status/1224280166043672576 … -
In my latest
#SPARQL adventures I learn about the difference between the CONSTRUCT and SELECT clauses while querying#wikidatahttps://markhneedham.com/blog/2020/02/02/querying-wikidata-construct-select/ … -
Query variant that adds
#DBpedia cross references via#SPARQL-FED. https://linkeddata.uriburner.com/sparql?default-graph-uri=&query=PREFIX+wd%3A+%3Chttp%3A%2F%2Fwww.wikidata.org%2Fentity%2F%3E%0D%0APREFIX+wdt%3A+%3Chttp%3A%2F%2Fwww.wikidata.org%2Fprop%2Fdirect%2F%3E%0D%0APREFIX+wdtn%3A+%3Chttp%3A%2F%2Fwww.wikidata.org%2Fprop%2Fdirect-normalized%2F%3E%0D%0APREFIX+pq%3A+%3Chttp%3A%2F%2Fwww.wikidata.org%2Fprop%2Fqualifier%2F%3E%0D%0APREFIX+ps%3A+%3Chttp%3A%2F%2Fwww.wikidata.org%2Fprop%2Fstatement%2F%3E%0D%0APREFIX+wikibase%3A+%3Chttp%3A%2F%2Fwikiba.se%2Fontology%23%3E%0D%0APREFIX+dct%3A+%3Chttp%3A%2F%2Fpurl.org%2Fdc%2Fterms%2F%3E%0D%0APREFIX+skos%3A+%3Chttp%3A%2F%2Fwww.w3.org%2F2004%2F02%2Fskos%2Fcore%23%3E%0D%0APREFIX+dbc%3A+%3Chttp%3A%2F%2Fdbpedia.org%2Fresource%2FCategory%3A%3E%0D%0APREFIX+dbo%3A+%3Chttp%3A%2F%2Fdbpedia.org%2Fontology%2F%3E%0D%0APREFIX+bd%3A+%3Chttp%3A%2F%2Fwww.bigdata.com%2Frdf%23%3E%0D%0APREFIX+p%3A+%3Chttp%3A%2F%2Fwww.wikidata.org%2Fprop%2F%3E%0D%0A%0D%0ASELECT+%3Fartist+%3FDBpediaArtistID+%3Falbum+%3FDBpediaAlbumID+%3FalbumLabel+%3FreleaseData+%0D%0AWHERE+%7B%0D%0A%0D%0A%09%09SERVICE+%3Chttps%3A%2F%2Fquery.wikidata.org%2Fsparql%3E%0D%0A%09%09%09%7B%0D%0A%09%09%09%09SELECT+DISTINCT+%3Fartist+%3FartistLabel+%3Falbum+%3FalbumLabel+%3FreleaseDate%0D%0A%0D%0A%09%09%09%09WHERE+%7B%0D%0A%09%09%09%09%09%09%3Falbum+wdt%3AP264+wd%3AQ311439+.%0D%0A%09%09%09%09%09%09%0D%0A%09%09%09%09%09%09%3Falbum+wdt%3AP175+%3Fartist+%3B++++%23+album+has+performer%0D%0A%09%09%09%09%09%09%09%09p%3AP577+%3FreleaseDateThing+.%23+release+date+as+%28claim+about+the+date%3F%29%0D%0A%09%09%09%09%09%09%0D%0A%09%09%09%09%09%09%3FreleaseDateThing+ps%3AP577+%3FreleaseDate+.++%0D%0A%09%09%09%09%09%09SERVICE+wikibase%3Alabel+%7B+bd%3AserviceParam+wikibase%3Alanguage+%22%5BAUTO_LANGUAGE%5D%2Cen%22.+%7D%0D%0A%09%09%09%09%09++%7D%0D%0A%09%09%09%7D%0D%0A%0D%0A%09%09SERVICE+%3Chttp%3A%2F%2Fdbpedia.org%2Fsparql%3E%0D%0A%09%09%09%7B%0D%0A%09%09%09%09SELECT+DISTINCT+%3FDBpediaArtistID+%3FDBpediaAlbumID+%0D%0A%09%09%09%09FROM+%3Chttp%3A%2F%2Fdbpedia.org%3E+%0D%0A%09%09%09%09WHERE+%7B%0D%0A%09%09%09%09%09%09%3FDBpediaArtistID+owl%3AsameAs+%3Fartist+.%0D%0A%09%09%09%09%09%09%3FDBpediaAlbumID+owl%3AsameAs+%3Falbum+.%0D%0A%09%09%09%09%09%09%23+OPTIONAL+%7B%3FdbpediaID+skos%3AaltLabel+%3FdbpediaLabel%7D+.+%0D%0A%09%09%09%09%09%09%23+OPTIONAL+%7B%3Fperson+dct%3Asubject+%5B+rdfs%3Alabel+%3FsubjectText+%5D+.%7D%0D%0A%09%09%09%09%09%09%23+FILTER+%28LANG%28%3FdbpediaLabel%29+%3D+%22en%22%29+%0D%0A%09%09%09%09%09++%7D+%0D%0A%09%09%09%7D%0D%0A%09%09%7D&should-sponge=&format=text%2Fhtml&CXML_redir_for_subjs=121&CXML_redir_for_hrefs=&timeout=30000000 … Just click, for max effect :)#Music#LODCloud#KnowledgeGraph#GraphDatabase#DBpediapic.twitter.com/NR7gLT18iy
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Q: What does this mean for
#SQL apps and services? A: Existing#JDBC,#ODBC, http://ADO.NET are able to perform#GraphAnalytics (using common algorithms) that leverage the combined power of#SQL and#SPARQL, courtesy of our powerful#VirtuosoRDBMS.#KnowledgeGraphPrikaži ovu nit -
What do I mean by adding Transitivity to
#SQL? Here's a post covering that, specifically: https://community.openlinksw.com/t/community-forum-note-sparql-bi-and-transitivity/1250 … And here's how it affects#GraphAnalytics via#SPARQL https://community.openlinksw.com/t/graph-analytics-using-virtuoso-s-sparql-bi-extensions-to-sparql/1443 …#KnowledgeGraph#NoSQL#SPASQL#GraphDatabase#Database#DBMS#RDBMSpic.twitter.com/94GMzt7X5o
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Stumbled upon an
@zdnet post about#KnowledgeGraph#GraphQL#RDF#GraphDatabase#SPARQL etc. https://www.zdnet.com/article/knowledge-graph-evolution-platforms-that-speak-your-language/ … Takeaway: Adding Transitivity to the#SQL support in our#VirtuosoRDBMS was the right decision :)#LODCloud#NoSQL#GraphAnalytics#LinkedData#SPASQLPrikaži ovu nit -
Nice. Your query inspired me to quickly check what's available for one of my favourite labels, ECM https://w.wiki/GVC
#SPARQL@wikidata -
In the section "GraphQL plus variants" George Anadiotis is pointing to one of the key elements the graph community will hopefully figure out soon in the path ahead https://www.zdnet.com/article/knowledge-graph-evolution-platforms-that-speak-your-language/ …
#KnowledgeGraphs#GraphQL#GraphDB@linked_do#GQL#SPARQL@manishrjainpic.twitter.com/2iICmYEDcM
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Given the phrase "FC Barcelona" here are 500 attributes across all associated entities from the
#Wikidata#KnowledgeGraph we deployed using our#VirtuosoRDBMS. https://wikidata.demo.openlinksw.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%22%22%20c-term%3D%22%22%20agg%3D%22%22%20limit%3D%22500%22%3E%3Ctext%3EFC%20Barcelona%20%3C%2Ftext%3E%3Cview%20type%3D%22properties%22%20limit%3D%22500%22%20offset%3D%220%22%20%2F%3E%3C%2Fquery%3E …#Search#SPARQL#FacetedBrowsing#LinkedData#GraphDatabasepic.twitter.com/27PG6sDUgd
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Exploration of this powerful
#KnowledgeGraph for#BioInformatics, using a simple follow-your-nose exploration pattern. 1. https://snorql.nextprot.org/?query=select%20distinct%20%3Fentry%20where%20%7B%0A%20%20%3Fentry%20:isoform%20%3Fiso.%0A%20%20%23%20get%20all%20expression%0A%20%20%3Fiso%20:expression%20%3Fe1.%0A%20%20%23%20highly%20expressed%20in%20brain%0A%20%20%3Fe1%20:term%2F:childOf%20cv:TS-0095;:evidence%2F:expressionLevel%20:High.%0A%20%20%23%20not%20expressed%20in%20testis%0A%20%20%3Fiso%20:undetectedExpression%20%3Fe2.%0A%20%20%3Fe2%20:term%20cv:TS-1030.%0A%20%20filter%20not%20exists%20%7B%20%3Fiso%20:detectedExpression%20%2F%20:term%20%2F%20:childOf%20cv:TS-1030%20%7D%0A%7D&output=html … 2. https://www.nextprot.org/entry/NX_O94850/ … 3. https://www.nextprot.org/term/GO:0005515/ … Use@datasniff for#Metadata discovery too!#LinkedData#SSEO#SPARQL pic.twitter.com/WqbHNmePDa
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The integration b/n
@OntotextGraphDB &@MongoDB allows us to store some of our data outside of#GraphDB, convert it to#RDF, fetch it w/#SPARQL and integrate it w/ our other data. Check out this step-by-step guide to understand how works in practice: https://hubs.ly/H0mPj3X0 -
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@Addlesee_AI perhaps you might be interested in adding this video tutorial to your great list of#linkeddata &#SPARQL resources
https://twitter.com/sieverts/status/1222218612620042242 …
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