Top Tweets for #RDFSTAR
Our article on "In-Memory Dictionary-Based Indexing of Quoted RDF Triples" has been accepted at QuWeDa 2023 (co-located with @iswc_conf)! It discusses and compares various indexing approaches for quoted RDF 1.2/RDF-star triples. #rdfstar #rdf12 #indexing https://t.co/NAm6s90eVT
Optionally, it can also support quoted triples (RDF-star), which it can handle very efficienctly. More detailed performance experiments were done in https://t.co/NAm6s90eVT #RDF12 #RDFStar #QuotedTriples
Bien mangé ? 🍰 Ne dormez pas, on continue la journée avec un update des activités semweb au @w3c ! Les affaires semweb reprennent ! #SemWebPro #rdfStar
https://t.co/JWh0iPFKhl
Au #SemWebPro, nous accueillerons @pchampin qui nous parlera de "L'état de l'activité "web sémantique" au @w3c"
Encore une belle présentation au programme du #SemWebPro #LinkedData #OpenData #RDF #WebSem
Inscrivez-vous ➡️https://t.co/VZfZV3ouk0
Congrats to its members for the creation of RDF-star WG at @w3c, and all who participated to the CG!
@pchampin @AndySeaborne @fabien_gandon
#rdf #rdfstar #rdf* #sparql
https://t.co/qvC9LPc29h
Today the W3C approved the initial charter for the RDF-star Working Group and its call for participation.
#RDF #RDFstar #KnowledgeGraph #W3C
https://t.co/ls719rxFCF
@lomoramic @ontotext The Ontotext article that this image is from answers some questions about RDF-star. You can also read the recent RDF-star and SPARQL-star W3C Draft Community Group Report submitted last month that addresses many more details. #RDF #RDFstar #knowledgeGraph
https://t.co/CvUImZH3YH
Q: what's the argument for RDF*?
A: a picture's worth a thousand words
#RDF #knowledgeGraph #rdfstar
h/t @ontotext
https://t.co/mE17WNHywI
Congratulations to Lukas Sundquist for his master thesis on extending #VirtualKnowledgeGraphs with #RDFstar. PoC code for @ontop4obda makes this work even more valuable. Congratulations also to the co-supervisors @diegocalvanese and @bcogrel.
#KnowledgeGraph
#r2rml
A really nice overview by Ontotext on what #KnowledgeGraphs are - and what they are not - and how they can help businesses make critical decisions, based on harmonized knowledge models and data derived from siloed source systems.
#SemanticWeb #LinkedData #RDF #RDFstar
What is at the heart of a #knowledgegraph? The first white paper in our special series explores the nature of KGs, principles & implementation, use cases from different industries & an overview of its diverse horizontal applications & capabilities. https://t.co/wZLVyT1r75
https://t.co/EvyVjdxmJJ -- shedding light on the fundamental problem (*as I've always seen it*) re #RDF and #RDFStar (a/k/a RDF-Star).
#RDF is Data Definition #Language informed by #Logic i.e., it isn't a Data Model!
One size doesn't fit all.
#GraphDatabase #StructuredData
@thejustman @ThomasDelva @ArenasGuerrero @_aieme @dchavesf @ocorcho Quads are supported in any case from most mapping languages & #RDFstar can be translated by default to reification => #RMLstar statements could also be translated. The translation to reification is the simplest way to implement #RMLstar without affecting a default RMLProcessor.
Welcome graph path search support in @OntotextGraphDB! The most comprehensive one in the #SPARQL world. Still, standard-compliant, no syntax hacks. One can get results in #RDFStar. Efficient enough to pass @LDBCouncil's SNB benchmark - stay tuned.
https://t.co/xqOP1jvS1d
What makes #RDFStar so important & worth adopting? It is furthering the #opendata philosophy of #RDF to ensure interoperability & avoid the inevitable headaches of proprietary languages. https://t.co/VclKPyETIA #semanticweb #knowledgegraphs #metadata #schema #ontologies
Another great post by @JarredMcGinnis deep-diving into why #RDFStar takes the best of both worlds ➡️ "RDF-Star provides a representation that is closer to the clean simplicity of #propertygraphs but w/t having to sacrifice #semantics in the bargain." https://t.co/FkMV631gho
A detailed & technical read on the #RDFstar spec ending w/ a critical note on the importance of intelligent model design, which according to @kurt_cagle is sometimes all we need to make #RDF graphs as efficient & as flexible as labeled #propertygraphs. https://t.co/kh5tqBMsxu
Revisiting Representation Learning on RDF* (#RDFSTAR) and #LPGKnowledgeGraphs...By @michael_galkin
https://t.co/25rdJxRTyW
In this blog post, @ABrokenJester discusses how #RDFstar & #SPARQLstar can make provenance tracking in #RDF #KnowledgeGraphs easier, & demonstrates how RDF-star annotations can be retrieved, displayed & visualized graphically in #metaphactory: https://t.co/qbdXJvBlOp
Here's a detailed comparison b/n some of the alternatives to #RDFStar (reification, N-ary relations, singleton properties & namedgraphs (w/ advantages & disadvantages), & in which case RDF star should be the preferred approach: https://t.co/b47JPFmVoo
https://t.co/QnLi42KKZY
@neumarcx @JayGray0919 @sandhawke @ontotext The direct benefits from RDF-Star are reduced number of statements, smaller RDF files and faster parsing. If implemented well, it also leads to faster index management and query processing. We measured the alternatives with @OntotextGraphDB: it's 2x faster than #RDF reification
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