World leading RDF triplestore & knowledge graph engine, developed by @Ontotext.

Sofia, Bulgaria
Joined June 2010
GraphDB by Ontotext retweeted
Anyone else experimenting with shex/shacl and LLMs?
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GraphDB by Ontotext retweeted
☝️ #Entitylinking is a foundational task in #textanalysis. ⚙️ Here's how @OntotextGraphDB’s standards-based entity linking makes it easier to add new, related data that provides context to other entities stored in the original data model. hubs.la/Q02MlQzT0
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GraphDB by Ontotext retweeted
Krasi will compare two different Graph RAG patterns that are easy to implement with @OntotextGraphDB . Part of our AI in Action initiative ontotext.com/ai-in-action/
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GraphDB by Ontotext retweeted
.@odeuropa is the European Olfactory #KnowledgeGraph. We are superexcited that the #RDF #graphdatabase humming behind a number of related applications is @OntotextGraphDB. 🙇 hubs.la/Q02gr7-N0
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GraphDB by Ontotext retweeted
📢 There's a new interface for the @wikidata demo system that makes it easier to interact w/ the #knowledgegraph. The interface is built w/ @metaphacts metaphactory on top of @OntotextGraphDB, & it's freely accessible to anyone! Learn more: hubs.la/Q029K85G0 #linkeddata
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GraphDB by Ontotext retweeted
Deploying @OntotextGraphDB is now verified by & available through the Microsoft @Azure Marketplace. A happy day for #SysOps & #DevOps teams! 🎈hubs.la/Q02gztm_0 #CloudIT #SaaS #IaaS #graphdb #semantictechnology #SPARQL #knowledgegraphs
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GraphDB by Ontotext retweeted
Key reasons why enterprises should consider using @OntotextGraphDB on @AWS: ☞ Deployment ☞ Scalability ☞ Fully Managed ☞ Costs ☞ 24×7 Support Read more about the cloud offering & why enterprises should leverage its capabilities: hubs.la/Q026RTN60 #CloudIT #SaaS
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GraphDB by Ontotext retweeted
Three months ago we decided to offer @OntotextGraphDB on @AWS to simplify the procurement, provisioning, & maintenance of clients’ graph-powered applications. Here are the key capabilities, features & benefits enabled by the cloud offering. 🔗 hubs.la/Q026RVSq0
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GraphDB by Ontotext retweeted
🧐 Do you know that you can interact w/ @wikidata's #KnowledgeGraph through a robust new end-user interface, which leverages metaphactory, @metaphacts' #FAIR KG platform, & @OntotextGraphDB? 🔗 hubs.la/Q029zKdj0
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GraphDB by Ontotext retweeted
Key reasons why enterprises should consider using @OntotextGraphDB on @AWS: ☞ Deployment ☞ Scalability ☞ Fully Managed ☞ Costs ☞ 24×7 Support Read more about the cloud offering & why enterprises should leverage its capabilities: hubs.la/Q026RRRJ0
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GraphDB by Ontotext retweeted
If you are shopping your #graphdatabases from a trusted cloud vendors like @AWS Marketplace, we've got some good news for you! @OntotextGraphDB is now available there! hubs.la/Q0224TSx0 #AWS #NoSQL #SPARQL #graphdb #semanticweb #linkeddata #knowledgegraphs
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GraphDB by Ontotext retweeted
Our CTO @vassil_momtchev shares his observations for #dataintegration patterns in @OntotextGraphDB from years of watching different users & data engineers who design #knowledgegraphs. hubs.la/Q020cr8c0 #graphDB #ETL #RDFschema #SPARQL
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GraphDB by Ontotext retweeted
At #tdwg2023, we'll be showing how #OpenBiodiv apps & workflows let users explore the #biodiversity knowledge graph, where each semantic statement (e.g. authors, treatments, #taxons) has a persistent identifier. 🔗Abstract: doi.org/10.3897/biss.7.11072… via @BISS_Journal. #BiCIKL_H2020
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GraphDB by Ontotext retweeted
Using Kafka w/ @OntotextGraphDB enables the automation & optimization of #knowledgegraph updates, enhances data integration, & provides a robust & scalable architecture for managing data streams in a #graphdatabase environment. hubs.ly/Q01Wv1l80 #datamanagement #graphdb
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GraphDB by Ontotext retweeted
How are you updating the #RDF content in your #graphdatabase? 💡 W/ Kafka, updates to & out of #GraphDB become more efficient. Here's a detailed & technical explanation of how to integrate the Kafka Sink Connector w/ @OntotextGraphDB: hubs.la/Q01WtYmG0 #datamanagement
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GraphDB by Ontotext retweeted
Did you know the RDF 1.2 and SPARQL 1.2 drafts are being published automatically as they get updated? SPARQL 1.2 Query : w3.org/TR/sparql12-query/
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GraphDB by Ontotext retweeted
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. hubs.la/Q01Dlq-Y0
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