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:
- Manufacturing
- Automotive Industry
- Energy
- Building Automation
- Infrastructure
- Aerospace & Defense
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.
Ontotext Demo Days: Reconciliation Service for Knowledge Graph Enrichment with OntoRefine
A talk by Nikola Tulechki, Knowledge Engineer at Ontotext, presented at the Ontotext Demo Day in May 2022.
Nikola Tulechki, Knowledge Engineer at Ontotext, demonstrates a data cleaning, reconciliation and RDF-ization workflow with OntoRefine aiming to enhance an existing knowledge graph with new information contained in tabular data.
You can watch him clean up a tabular dataset with OntoRefine, set up a project-specific reconciliation service on top of an existing knowledge graph and use it from the OntoRefine project to match strings in the source data to entities in the knowledge graph. The enriched data will then be converted to RDF, using the Visual RDF Mapper, and imported into the existing knowledge graph in the GraphDB repository.