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  1. Ontotext

    Leverage Ontotext experience in semantic technology, spanning 2 decades. Our experts and trusted partners will consult, support, and train your team to achieve your goals effectively.

  2. Ontotext GraphDB

    GraphDB EE can be licensed to two or more cores according to needs and is available on-premise from Ontotext and its partners. The GraphDB Enterprise Edition 12-core cluster is …

  3. Ontotext Semantic Objects

    Read our final post from this series focusing on how GraphDB and Ontotext Platform provide an architecture that can work on any infrastructure resulting in a well-deployed and well-visualized …

  4. About Us - Ontotext

    Started in 2000 as R&D lab within Sirma Group, a top 3 Bulgarian software company, Ontotext’s technology and solutions are spread wide across the value chain of the most knowledge …

  5. Ontotext Products

    With Ontotext Semantic Objects, you can: Manage and maintain high-quality data from diverse sources. Generate semantic metadata and extract knowledge to inform business decisions. …

  6. What is Graph RAG | Ontotext Fundamentals

    Ontotext products and services streamline a range of Graph RAG patterns, opening up new possibilities for chatbots, natural language querying and information extraction. The topic of …

  7. What Is RDF-star | Ontotext Fundamentals

    An expressive and powerful language, it enables Ontotext and other vendors to deliver enterprise-strength knowledge graphs to solve the data management problems of some of the world’s top …

  8. Ontotext Refine

    Ontotext Refine (OntoRefine) is a free application for automating the conversion of messy string data into a knowledge graph.

  9. Case Studies | Ontotext

    Organize your information into enterprise knowledge graphs for synergistic data management and analytics Automate converting messy string data into a knowledge graph with Ontotext’s free …

  10. Ontotext - GraphDB Downloads and Resources

    Get quick answers on technical questions from the community as well as Ontotext experts using the graphdb tag