❓ How do you transition the portoflio of a major food & beverage brand such as Unilever Knorr to one that includes a 50% increase in their plant-based offerings? 🙋 With #AI & #knowledgegraphs. Here's how Foodpairing AI is revolutionizing food research & new food product development: https://hubs.la/Q02HW7HT0
Ontotext
Software Development
Sofia, Sofia 8,644 followers
Enabling knowledge graph powered decision making to drive enterprise value through semantic technologies using GraphDB.
About us
Connect the dots of your data! Ontotext helps enterprises to lower data management costs by up to 30%, enable data fabric architectures, create digital twins, utilize Graph RAG benefits, and take information delivery from days to minutes! We do this by identifying meaning and connections across diverse datasets and integrating massive amounts of structured and unstructured data. Our clients gain value through GraphDB with semantic knowledge graphs, enabling more powerful and cost effective text analysis, knowledge management, fraud detection, recommendation engines, ecommerce search and much more. "GraphDB is the best RDF graph database service available, and I've seen others." (Data architect, IT Services) Ontotext delivers products and content analytics solutions to enterprises including S&P, BBC, Financial Times, Elsevier, Wiley, UK Parliament, Kadastr.NL and Fujitsu. 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.
- Website
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https://www.ontotext.com
External link for Ontotext
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Sofia, Sofia
- Type
- Privately Held
- Founded
- 2000
- Specialties
- graph databases, knowledge management, semantic web, text mining, RDF triplestores, knowledge graphs, smart data, linked data, semantic database, triplestores, semantic search, semantic recommendation, Master Data Management, Data Analytics, text analysis, Search, Metadata, artificial intelligence, Product Information Management, data fabric, LLM, GraphDB, generative AI, Graph RAG, and unstructured data
Locations
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Primary
Tsarigradsko Shosse 47A, Business Center Polygraphia, floor 4
Sofia, Sofia 1784, BG
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1115 Broadway
Suite 1200
New York, NY 10010, US
Employees at Ontotext
Updates
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Exploring the progress made by RES-Q+ project in the past 18 months - from #NLP & #knowledgegraph tools enhancing stroke care registries to overcoming multilingual data challenges. Dive into the review to see how #semantictechnology is transforming stroke care. https://hubs.la/Q02MGjTw0 #healthcare #biodata
18 Months Review: RES-Q PLUS: Pioneering Healthcare Solutions Rooted in Global Stroke Care Registry
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If you're attending #DAFITC2024 starting today & you want to know more about how #AI & #knowledgegraph solutions can spearhead #cybersecurity & network operations, drop by our booth #421 with Vertosoft or book a direct meeting for a discovery chat 👉 https://hubs.la/Q02LxPQr0
DAFITC 2024
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We agree with our CMO's (Doug Kimball) thoughts - it's great to have recognition from Gartner for our depth & expertise in #knowledgegraphs, #textanalytics, semantics & target discovery. We are well positioned to help our clients with their #AI, #LLM & graph related needs - we'd love to talk with you to learn about your use case - please reach out!
Enabling organizations to maximize the value of their disparate and disconnected data through enterprise knowledge graphs. | Knowledge Management | Data Management | Unstructured Data | Generative AI |
😎 Pretty proud to see Ontotext mentioned in more than 10 Gartner Hype Cycle reports over the last couple months! This demonstrates the success of our #dataengineering offerings, focusing on knowledge graphs and #ontologies, all so critical for success with Large Language Models and #naturallanguageprocessing. 👍 One that really got me fired up was being listed in the Hype Cycle for Natural Language Technologies, 2024 in Ontologies and Knowledge Graphs. Our name – Ontotext – is born from Ontologies and Text Analytics – something we’ve been delivering results with for over 20 years. From the Natural Language Technologies report- Gartner recommends: - "Examine ontology vendors and their wider offerings, paying attention to their use of GenAI to augment or automate the creation and management of ontologies and knowledge graphs." If you have a Gartner subscription, check the report out here - and give us a look for how we can help with your #knowledgemanagement needs https://lnkd.in/geBeXEbi
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#TargetDiscovery is the solution medical researchers need to find needles in a haystack. Here's how Alzheimer's Research UK is using it to accelerate research into Alzheimer's disease & prioritze drug target candidates with higher therapeutic potential. https://hubs.la/Q02F-Cgw0 #drugdiscovery #semantics #biodata
Oxford Drug Discovery Institute Harnesses Target Discovery to Accelerate Alzheimer's Breakthroughs
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We provide a clear pathway to deploying #GraphDB clusters on #Azure. With comprehensive Terraform scripts & a user-friendly guide, setting up your high-availability data cluster has never been easier or more efficient. ⋆✴︎˚。⋆ 🔗 https://hubs.la/Q02Kpdb10 #databasemanagement
Deploying Ontotext GraphDB on Azure
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☝️ #Entitylinking is a foundational task in #textanalysis that unlocks the doors for multiple applications. By combining entity linking & #knowledgegraphs, the resulting system not only becomes more efficient at understanding & processing information but also evolves to become a dynamic, self-improving knowledge repository. This unlocks new possibilities for extracting, organizing, & leveraging knowledge. ⚙️ Here's how #GraphDB’s standards-based entity linking makes it easier to add new, related data that provides context to other entities stored in a the original data model. https://hubs.la/Q02MlqGZ0
Using Entity Linking to Turn Your Graph into a Knowledge Graph
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Explore how Semaphore Solutions is revolutionizing clinical diagnostics with #knowledgegraphs! Their product, Labbit, leverages #RDF KGs to streamline complex lab #datamanagement, ensuring high-quality, efficient, & scalable solutions for the demanding world of clinical diagnostics. 🔗 https://hubs.la/Q02L44jZ0 #clinicaldiagnostics
Advancing Clinical Diagnostics with Knowledge Graphs
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📢 Calling all #semantictechnology enthusiasts! Submit your presentation proposal for Ontotext's #KnowledgeGraph Forum by Sep 15 & share how our technologies have changed your project. Connect with experts & gain recognition. More info about the event will come soon! 🔗 https://hubs.la/Q02LyVXW0 #KGF24 #graphdb #SPARQL
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eccenca leverages Ontotext’s #GraphDB to enhance #cybersecurity measures, offering an integrated solution to manage & mitigate vulnerabilities efficiently. Explore how our joint technological offering simplifies the detection & management of cybersecurity threats, enabling proactive defense strategies ↴ https://hubs.la/Q02J3xwY0 #enterprisesecurity #graphtechnology #knowledgegraphs
Cybersecurity and Vulnerability Management: A Solution on Top of eccenca Corporate Memory
ontotext.com