Ontotext
#graph databases
#knowledge management
#semantic web
#text mining
#RDF triplestores
#knowledge graphs
#smart data
#linked data
#noSQL
#semantic database
Overview
We power effective decision making, knowledge growth and acquisition, insights discovery, ensure your AI is properly educated, support data fabric and data mesh planning - and much more! Knowledge graph technology helps you to connect data and define relationships to get the most of your business critical data.
Ontotext helps enterprises to identify meaning and connections across diverse datasets and massive amounts of unstructured information. Our technology and services deliver value through semantic knowledge graphs, interlinking multiple structured and unstructured datasets. Graph analysis provides semantic entity profiles, enabling more accurate text analysis, powering knowledge management, fraud detection, recommendation engines, supporting ecommerce and much more.
"GraphDB is the best RDF graph database service available, and I've seen others." (Data architect, IT Services)
GraphDB(TM) is our most well known product, and is a semantic graph database engine. The Ontotext Platform extends it with text analysis, semantic tagging, search, classification and discovery capabilities.
Ontotext delivers products and content analytics solutions to enterprises like S&P, BBC, Financial Times, Elsevier, Wiley, UK Parliament, Kadastr.NL and Fujitsu.
"Ontotext - leading Graph database solution for RDF-based semantic technology solutions." (IT Manager, Retail)
Digital Asset Management, Drug Discovery, Data Compliance, Fraud Detection, Big Data Management, Data Fabric support, Semantic Search, Product Information Management and many other business critical applications gain value from Knowledge Graphs - talk with us to learn more.
Contact Details
info@ontotext.com
Sofia, Bulgaria
Founded
2000
Employees
50-100
Keywords
#graph databases
#knowledge management
#semantic web
#text mining
#RDF triplestores
#knowledge graphs
#smart data
#linked data
#noSQL
#semantic database
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