Live online training meant to teach you how to develop a small Proof-of-Concept that utilizes the power of Semantic Technology and GraphDB.
Making Sense of Text and Data
Provide consistent unified access to data across different systems by using the flexible and semantically precise structure of the knowledge graph model
Interlink your organization’s data and content by using knowledge graph powered natural language processing with our Content Management solutions.
Implement a Connected Inventory of enterprise data assets, based on a knowledge graph, to get business insights about the current status and trends, risk and opportunities, based on a holistic interrelated view of all enterprise assets.
Quick and easy discovery in clinical trials, medical coding of patients’ records, advanced drug safety analytics, knowledge graph powered drug discovery, regulatory intelligence and many more
Make better sense of enterprise data and assets for competitive investment market intelligence, efficient connected inventory management, enhanced regulatory compliance and more
Connect and model industry systems and processes for deeper data-driven insights in:
Improve engagement, discoverability and personalized recommendations for Financial and Business Media, Market Intelligence and Investment Information Agencies, Science, Technology and Medicine Publishers, etc.
Unlock the potential for new intelligent public services and applications for Government, Defence Intelligence, etc.
Connect and improve the insights from your customer, product, delivery, and location data. Gain a deeper understanding of the relationships between products and your consumers’ intent.
Link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.
Organize your information and documents into enterprise knowledge graphs and make your data management and analytics work in synergy.
Integrate and evaluate any text analysis service on the market against your own ground truth data in a user friendly way.
Turn strings to things with Ontotext’s free application for automating the conversion of messy string data into a knowledge graph.
Technology
A Proof-of-Concept is a necessary step in every project’s development, especially in projects that are about to adopt a complex and heavy tool into their organizational value chain. Showing the value of Semantic Technology very early on then becomes vital when building trust.
With our live online training we strive to make technical and business people feel comfortable in their understanding of the capabilities of Semantic Technology and guide them further in the adoption.
Ivelina, one of Ontotext’s leading NLP engineers and also an instructor of this training, discusses briefly our understanding of a successful Proof-of-Concept, and why we would rather talk about Proof-of-Value.
Interested? Go to our training page where you can learn details or contact the team for specific questions.
Live online training meant to teach you how to develop a small Proof-of-Concept that utilizes the power of Semantic Technology and GraphDB.
Meet the experts who will teach you how to develop a small Proof-of-Concept that utilizes the power of Semantic Technology and GraphDB.
Check out what people who already took part in our training Designing a Semantic Technology Proof-of-Concept have to say about their experience.
Live online training meant to teach you how to develop a small Proof-of-Concept that utilizes the power of Semantic Technology and GraphDB.
Meet the experts who will teach you how to develop a small Proof-of-Concept that utilizes the power of Semantic Technology and GraphDB.
Check out what people who already took part in our training Designing a Semantic Technology Proof-of-Concept have to say about their experience.
Senior NLP Engineer at Ontotext
Ivelina Nikolova has experience in various projects for semantic textual enrichment and document classification. Her main expertise is in the area of information extraction such as named entity recognition, event recognition and relation extraction with state-of-the-art natural language processing techniques.
Learn how a ML algorithm trained to replicate human decisions helped the EU-supported EHRI project on Holocaust research with record linking.
Check out what people who already took part in our training Designing a Semantic Technology Proof-of-Concept have to say about their experience.
Meet the experts who will teach you how to develop a small Proof-of-Concept that utilizes the power of Semantic Technology and GraphDB.
Learn what is a successful Semantic Technology Proof-of-Concept in our live online training that utilizes the power of Semantic Technology and GraphDB.
Live online training meant to teach you how to develop a small Proof-of-Concept that utilizes the power of Semantic Technology and GraphDB.