SPARQL

Ontotext Releases GraphDB 10.6: Enhancing Data Management and User Experience

Retrieved on: 
Tuesday, February 20, 2024
Policy, Access control, ACL, Access-control list, Graph database, Ontotext, SPARQL, Video game

NEW YORK, Feb. 20, 2024 /PRNewswire/ -- Ontotext , a leading semantic knowledge graph provider, announced the release of GraphDB 10.6, which includes enhancements to functionality and user experience.

Key Points: 
  • NEW YORK, Feb. 20, 2024 /PRNewswire/ -- Ontotext , a leading semantic knowledge graph provider, announced the release of GraphDB 10.6, which includes enhancements to functionality and user experience.
  • GraphDB 10.6 features a major upgrade to the YASGUI component in the GraphDB Workbench SPARQL editor, providing users with a more efficient data exploration and analysis experience.
  • Users can now run multiple SPARQL queries concurrently and edit queries seamlessly, enhancing productivity and workflow efficiency.
  • For more information about GraphDB 10.6 and its features, please visit https://www.ontotext.com/products/graphdb/

Ontotext Releases GraphDB 10.6: Enhancing Data Management and User Experience

Retrieved on: 
Tuesday, February 20, 2024
Policy, Access control, ACL, Access-control list, Graph database, Ontotext, SPARQL, Video game

NEW YORK, Feb. 20, 2024 /PRNewswire/ -- Ontotext , a leading semantic knowledge graph provider, announced the release of GraphDB 10.6, which includes enhancements to functionality and user experience.

Key Points: 
  • NEW YORK, Feb. 20, 2024 /PRNewswire/ -- Ontotext , a leading semantic knowledge graph provider, announced the release of GraphDB 10.6, which includes enhancements to functionality and user experience.
  • GraphDB 10.6 features a major upgrade to the YASGUI component in the GraphDB Workbench SPARQL editor, providing users with a more efficient data exploration and analysis experience.
  • Users can now run multiple SPARQL queries concurrently and edit queries seamlessly, enhancing productivity and workflow efficiency.
  • For more information about GraphDB 10.6 and its features, please visit https://www.ontotext.com/products/graphdb/

Vesoft (NebulaGraph) Recognized in the Gartner® Market Guide for Graph Database Management Systems

Retrieved on: 
Wednesday, November 15, 2023
Cloud, GraphQL, Research, ARM, Amazon, SQL, DBMS, Learning, Database, Multi, DGL, NebulaGraph, Machine learning, SPARQL, GQL, Graph, Azure, API, AI, RDF, Alibaba Cloud, AWS, Overalls, Publication, Generic drug, Medical imaging, Online shopping, Video game, Cryptocurrency, Gremlin, Gartner

Vesoft for its NebulaGraph has been recognized in the Gartner® Market Guide for Graph DBMSs as a Representative Vendor.

Key Points: 
  • Vesoft for its NebulaGraph has been recognized in the Gartner® Market Guide for Graph DBMSs as a Representative Vendor.
  • According to Gartner, "Based on the increasing usage, popularity and maturity of graph, Gartner estimates that the market for graph technologies, including graph database management systems (DBMSs), will grow to $3.2 billion by 2025 with a CAGR of 28.1%."
  • We believe being recognized in Gartner's Market Guide for Graph Database Management Systems symbolizes the industry's endorsement of NebulaGraph.
  • Reference: [1] Gartner, "Market Guide for Graph Database Management Systems", Merv Adrian, Afraz Jaffri, 30 August 2022.

Ontotext Webinar - GraphDB as Company Data Central

Retrieved on: 
Thursday, March 10, 2022
Ontology, Graph database, Ontotext, Wikidata, LCC, SameAs, FIBO, Metadata, Health, Language, AI, Mining, Virtualization, SPARQL, Multimedia, EDA, Record, Solution, Thought, Publishing, GLEIF, Review, Pharma, Create, Cryptocurrency, Facebook, F500

The topic of the session is GraphDB as Company Data Central .

Key Points: 
  • The topic of the session is GraphDB as Company Data Central .
  • The webinar will demonstrate how to smarten up company data using FIBO (Financial Industry Business Ontology) as a semantic model and external data from GLEI (Global Legal Entity Identifier), LCC(Languages, Countries and Codes)and Wikidata; how GraphDB can help you create a graph model of your data and enrich it with reference data, signals from unstructured sources, records from transactional sources.
  • Ontotext employs big knowledge graphs to enable unified data access and cognitive analytics via text mining and integration of data across multiple sources.
  • Ontotext GraphDB engine and Ontotext Platform power business-critical systems in the biggest banks, media, market intelligence agencies, car and aerospace manufacturers.

Ontotext Webinar - GraphDB as Company Data Central

Retrieved on: 
Thursday, March 10, 2022
Ontology, Graph database, Ontotext, Wikidata, LCC, SameAs, FIBO, Metadata, Health, Language, AI, Mining, Virtualization, SPARQL, EDA, Record, Solution, Thought, Publishing, GLEIF, Review, Pharma, Create, Cryptocurrency, Facebook, F500

The topic of the session is GraphDB as Company Data Central .

Key Points: 
  • The topic of the session is GraphDB as Company Data Central .
  • The webinar will demonstrate how to smarten up company data using FIBO (Financial Industry Business Ontology) as a semantic model and external data from GLEI (Global Legal Entity Identifier), LCC(Languages, Countries and Codes)and Wikidata; how GraphDB can help you create a graph model of your data and enrich it with reference data, signals from unstructured sources, records from transactional sources.
  • Ontotext employs big knowledge graphs to enable unified data access and cognitive analytics via text mining and integration of data across multiple sources.
  • Ontotext GraphDB engine and Ontotext Platform power business-critical systems in the biggest banks, media, market intelligence agencies, car and aerospace manufacturers.

Essilor Uses AllegroGraph to Build a Knowledge Graph Solution for Global Supply Chain Risk Management

Retrieved on: 
Tuesday, September 14, 2021
Software, Data Management, Technology, Supply Chain Management, Logistics, Supply Chain Management, Transport, Retail, Other Technology, Knowledge, Emergency, Semiconductor, Allegro Common Lisp, Natural language processing, CEO, Oakley, Information Today, Blockchain, Graph database, Lens, EssilorLuxottica, Varilux, Ray-Ban, AllegroGraph, Third party, SQL, Industry, Machine learning, Risk management, Inc., Growth, COVID-19, Gartner, SPARQL, Google Knowledge Graph, Supply chain risk management, Partnership, Artificial intelligence, Knowledge graph, Organization, Big data, Multi-master replication, Awareness, Medical device, Information technology

AllegroGraph enables Essilor to quickly evolve its data model, easily connect complex supply chain relationships, seamlessly add new applications, and confidently rely on a stable, highly scalable platform.

Key Points: 
  • AllegroGraph enables Essilor to quickly evolve its data model, easily connect complex supply chain relationships, seamlessly add new applications, and confidently rely on a stable, highly scalable platform.
  • But a Supply Chain Risk Management system based on AllegroGraph can capture important product and supply chain information, along with new events in real-time and deliver AI-driven predictions to significantly improve risk management.
  • AllegroGraph is a Knowledge Graph platform that allows infinite data integration through a unique approach that unifies all data and siloed knowledge into an Entity-Event Knowledge Graph solution that can support massive, big data analytics.
  • The foundation for Knowledge Graphs and AI lies in the facets of graph technology provided by AllegroGraph and Allegro CL.

Ontotext GraphDB Named Champion in Bloor's Graph Database Market Update

Retrieved on: 
Monday, July 27, 2020
Computing, Computer languages, Data management, Ontotext, Semantic Web, Query languages, Graph database, Resource Description Framework, SPARQL

SOFIA, Bulgaria, July 27, 2020 /PRNewswire/ -- Bloor Research's Graph Database Market Update 2020 places Ontotext in the 'champions' category, saying that Ontotext provides "the best implementation of RDF* that we have seen, while the scope of the Ontotext Platform is broader than anything else in the market.

Key Points: 
  • SOFIA, Bulgaria, July 27, 2020 /PRNewswire/ -- Bloor Research's Graph Database Market Update 2020 places Ontotext in the 'champions' category, saying that Ontotext provides "the best implementation of RDF* that we have seen, while the scope of the Ontotext Platform is broader than anything else in the market.
  • The 2020 Bloor Research market update, which analyzes more than a dozen companies developing graph solutions, discusses the latest trends in the development of graph products.
  • Ontotext Platform now supports GraphQL, essentially lowering the barrier of entry to knowledge graph data, while still providing the full expressivity and power of SPARQL.
  • Ontotext GraphDBTM engine and Ontotext Platform power business critical systems in the biggest banks, media, market intelligence agencies, automotive and aerospace manufacturers.

Ontotext GraphDB Named Champion in Bloor's Graph Database Market Update

Retrieved on: 
Monday, July 27, 2020
Computing, Computer languages, Data management, Ontotext, Semantic Web, Query languages, Graph database, Resource Description Framework, SPARQL

SOFIA, Bulgaria, July 27, 2020 /PRNewswire/ -- Bloor Research's Graph Database Market Update 2020 places Ontotext in the 'champions' category, saying that Ontotext provides "the best implementation of RDF* that we have seen, while the scope of the Ontotext Platform is broader than anything else in the market.

Key Points: 
  • SOFIA, Bulgaria, July 27, 2020 /PRNewswire/ -- Bloor Research's Graph Database Market Update 2020 places Ontotext in the 'champions' category, saying that Ontotext provides "the best implementation of RDF* that we have seen, while the scope of the Ontotext Platform is broader than anything else in the market.
  • The 2020 Bloor Research market update, which analyzes more than a dozen companies developing graph solutions, discusses the latest trends in the development of graph products.
  • Ontotext Platform now supports GraphQL, essentially lowering the barrier of entry to knowledge graph data, while still providing the full expressivity and power of SPARQL.
  • Ontotext GraphDBTM engine and Ontotext Platform power business critical systems in the biggest banks, media, market intelligence agencies, automotive and aerospace manufacturers.

Cambridge Semantics Introduces Geospatial Analytics within its Award-Winning AnzoGraph® DB

Retrieved on: 
Thursday, June 18, 2020
Data, Computing, OGC GeoSPARQL, Open Geospatial Consortium, SPARQL, Articles, Cambridge Semantics, Analytics, Oracle Spatial and Graph

Cambridge Semantics, the leading provider of graph-driven data integration and analytics software, today announces the addition of geospatial analytics within its award-winning AnzoGraph DB.

Key Points: 
  • Cambridge Semantics, the leading provider of graph-driven data integration and analytics software, today announces the addition of geospatial analytics within its award-winning AnzoGraph DB.
  • This is why Cambridge Semantics' geospatial announcement is to be welcomed," said Philip Howard, Research Director at Bloor Research.
  • "The integration of geospatial analytics within AnzoGraph DB is another example of how Cambridge Semantics continues to push the boundaries of knowledge graph innovation and to show what is possible with graph-based analytics," said Steve Sarsfield, Vice President of Product, Cambridge Semantics.
  • Key functions of AnzoGraph DB with geospatial analytics include:
    As a customizable database, AnzoGraph DB uses its own user-defined function capability, or GeoSPARQL to provide over 160 functions to perform geospatial analysis.

Ontotext's GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs

Retrieved on: 
Thursday, April 30, 2020
Computer languages, Computing, Digital technology, Semantic Web, Resource Description Framework, Knowledge representation, Graph database, SPARQL, Web Ontology Language, Ontotext

Knowledge graphs are the next generation tool for helping businesses make critical decisions based on harmonized knowledge models derived from siloed source systems.

Key Points: 
  • Knowledge graphs are the next generation tool for helping businesses make critical decisions based on harmonized knowledge models derived from siloed source systems.
  • For this reason, more and more organizations are turning to knowledge graphs for better enterprise knowledge management, data and content analytics.
  • GraphDB 9.2 upgrades the modeling expressivity of the database with RDF*/SPARQL* - the most widely supported extension of those standards, which will be part of RDF 1.2.
  • This mechanism goes beyond the expressivity of the Property Graphs, where one can attach key-value pairs to relationships.