Top Tweets for #PropertyGraphs
What do reinforcement learning & #PropertyGraphs have in common?
🎥 Watch #ACED Craig Shallahamer's quick dive into how graphs bring #data to life — & why they’re key for modern #DataAnalytics, #AI, & beyond: https://t.co/7QQaXhyWr6
#VNA #OraPub #database #SOUG
Interested in #metadata analysis with #PropertyGraphs in #Oracle #23ai? Join me in room Stockholm today at 17:00 here at #DOAG2024. #oracleace
Can we automatically convert Knowledge Graphs represented in #RDF to #PropertyGraphs?
The answer is yes, but how to do it properly is tricky!
@chkashifrabbani studied this in the paper we are going to present to #SIGMOD next year with @ang3ela
and @HoseKatja
🎺🎺🎺We hare happy to announce the Round 1 accepted papers for SIGMOD 2025:
https://t.co/eMGTUoOGkz
Congratulations to all authors! 👏👏👏
Hope to see you in Berlin!
@Abi_Giles_Haigh talking about Game Changers: #Python, #VideoAnalysis, and #PropertyGraphs in Sports Analytics within the #Oracle Framework at #kscope24
🔥Join the Knowledge Espresso Fireside Chat on Dec 13 with hosts Francois Scharffe, KGC & Melli Annamalai, @Oracle.
🔎Explore knowledge & #propertygraphs in #SQL.
❓Dedicated graph #databases vs. existing DBs for graph queries?
Free event. More info👇 https://t.co/v7mBaXgflM
Audited @LDBCouncil benchmarking results position @OntotextGraphDB as the first #RDF engine to pass the SNB - territory reserved for #propertygraphs. RDF engines are now proven to match the historic advantages of LPG - edge properties & graph traversal. https://t.co/TZZKas28eu
Recent audited @LDBCouncil results position @OntotextGraphDB as the first #RDF engine to pass the SNB - territory reserved for #propertygraphs. RDF engines are now proven to match the historic advantages of LPG - edge properties & graph traversal. https://t.co/FM5EzEABqW
We've just published a graph database fundamentals blog looking at #rdf, #propertygraphs, graph #schema languages, & #linkeddata. If you want to learn more about graphs then this is a great place to start:
https://t.co/yzQr8TlQVo
"The more mature we get in the graph space, the more #RDF triplestores & #propertygraphs would come together & work in harmony." And RDF*/SPARQL* & #GraphQL are the testament to that notion. @AshleighNFaith on the major differences b/n the two: https://t.co/CVMKgBQdzY
The domination of labeled #propertygraphs (LPG) thanks to their native ability to deal w/ properties on edges in the graph & for graph traversal is over. Join Ontotext CEO @kiryakov_ak today to learn why & how: https://t.co/6AdYeCpdsp #SPARQL #graphdb #datamanagement #semanticweb
Register for our live webinar tomorrow about RDF*, important effort to bridge the gap b/n #propertygraph & #RDF, & about the Graph Path Search plugin, which fills in the last gap of major functionality that #propertygraphs had as advantage. https://t.co/MZOwMLCQns
Join our CEO @kiryakov_ak for a live webinar on Jan 27 to learn how @OntotextGraphDB eliminates the main limitations of #RDF vs #propertygraphs by enabling edge properties w/ RDF* & key #graphanalytics w/n #SPARQL queries w/ the Graph Path Search plug-in. https://t.co/sxGFYngAjw
For years, two main advantages of #propertygraphs have been highlighted: they can deal w/ properties on edges in the graph & they are good for graph traversal. Join Ontotext's CEO @kiryakov_ak on Jan 27 to learn why #RDF/#SPARQL has taken the lead: https://t.co/Qr3cbbCykW
Flexibility is a strong driver behind the use of graphs. In this white paper, we compare the strengths and limitations of Knowledge Graphs versus Property Graphs and provide guidance on both. #knowledgegraphs #propertygraphs #datagovernance
https://t.co/uCjCWwJ5YK
@Connected_Data @OntotextGraphDB @LDBCouncil I will show a comparison of how the different #RDF engines address the corner cases of #RDF-star and graph path search. I will wrap it up with a summary of why #PropertyGraphs are a misfit for #KnowledgeGraphs - the lack of formal semantics, interoperability and standards.
If you're interested in a discussion about why & how #RDF/#SPARQL has advanced beyond the advantages traditionally provided by labeled #propertygraphs (LPG), tune in to @kiryakov_ak talk at #CDW21 on Dec 3. Free access pass applies for the streaming.
https://t.co/uD7VVC8wFY
Welcoming @kiryakov_ak to #CDW21
@ontotext Founder & CEO, @LDBCouncil member
Semantic #GraphDB, reasoning, #knowledgegraphs, text mining, semantic tagging
Talk: RDF Leveled Advantages of LPG, Keeps 3 Key Benefits: Standards, Semantics, Interoperability https://t.co/PW9xAYQrz3
Our webinar on Thurs, Sep 16 is a hands-on tutorial on exploring graph paths w/ #SPARQL - the latest new feature in #GraphDB, which positions the engine as a worthy equivalent to #propertygraphs. Register here: https://t.co/N4RC6x8FhT #semantictechnology #semanticdata #graphdata
At #semanticsconf @jhidders explains sql-pgq in his keynote at the 1st Squaring the Circle on Graphs workshop. Will this deepen or ease the existing rift between #RDF and #PropertyGraphs? #scg2021 @juansequeda #KnowledgeGraphs #semanticweb
https://t.co/L3rcF2nuvD
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
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