Ontotext Blog

Semantic Information Extraction: From Data Bits to Knowledge Bytes

Semantic Information Extraction and the New Digital Disorder

Semantic information extraction is a boring name for a fascinating task: pulling out meaningful data from textual sources. With its help, text chunks become data bits, data bits become semantic metadata and semantic metadata become knowledge bytes – data pieces, ready to be leveraged for insights, decisions and actions.

Live Online Training: Hear It From People Who Experienced It

Live Online Training 4: Designing Semantic Technology Proof-of-Concept

The new “Designing Semantic Technology Proof-of-Concept: The live online training that will help you deliver a successful project” is approaching. Check out what people who already attended it in December and February thought about it.

Live Online Training: Meet The Ontotext Experts

Live Online Training 4: Designing Semantic Technology Proof-of-Concept

You are confused about how Semantic Technology provides value to a business case? Not sure about the utility of a graph database? This live online training teaches you how to load, transform, query and link your data, and develop a small Proof-of-Concept to demonstrate the power of Semantic Technology and GraphDB for a specific use case.

Live Online Training: What is a Successful Semantic Technology Proof-of-Concept

Live Online Training 4: Designing Semantic Technology Proof-of-Concept

You are confused about how Semantic Technology provides value to a business case? Not sure about the utility of a graph database? This live online training teaches you how to load, transform, query and link your data, and develop a small Proof-of-Concept to demonstrate the power of Semantic Technology and GraphDB for a specific use case.

GraphDB Migration Service: The 10-Step Pathway from Data to Insights

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Welcome to our GraphDB Migration Service – the A-Z service that helps you prepare for migrating your data to GraphDB, walks you through the setup, and monitors performance. Speaking of performance, we now also have the updated GraphDB Performance Benchmark Results on our website.

Live Online Training: What You Will Learn

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Live online training meant to teach you how to develop a small Proof-of-Concept that utilizes the power of Semantic Technology and GraphDB.

Weaving Data Into Texts: The Value of Semantic Annotation

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Semantic annotation is about weaving data into textual sources. In semantically annotated texts, certain words (denoting things, people, locations, organizations, etc) are linked to data – that is, to context and references that can be processed by an algorithm.

The New Cache on the Block: A Caching Strategy in GraphDB To Better Utilize Memory

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The ability to seamlessly integrate datasets and the speed at which this can be done are mission critical when it comes to working with big data. The new caching system of GraphDB is better, faster and smarter and solves the issues of the old caching strategy in GraphDB.

Fighting Fake News: Ontotext’s Role in EU-Funded Pheme Project

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Before ‘fake news’ became the latest buzzword, in January 2014 Ontotext started working on Project PHEME – ‘Computing Veracity Across Media, Languages, and Social Networks’ alongside eight other partners. The EU-funded project aimed at creating a computational framework for automatic discovery and verification of information at scale and fast.

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