Knowledge Hub
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Join this webinar to learn how enterprises can create RDF graphs from SQL data platforms faster while reducing costs!
Vassil Momtchev
Chief Technology Officer
Benjamin Cogrel
CTO and co-founder
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Join this webinar to learn about the key benefits of the Ontotext and TopQuadrant partnership – particularly in scaling, semantics, and policy enforcement, while increasing the value of enterprise data stored in disparate systems.
Atanas Kiryakov
CEO & Founder
Nimit Mehta
CEO
This webinar presents Ontotext’s capabilities for implementing Text Analysis Solutions for Content Management. Sign up and watch on-demand
Demonstration of how to use text analysis to populate knowledge graphs from unstructured documents and synchronize downstream systems via Kafka.
This webinar presents a map of the Knowledge Graph Applications and a second map of the Capabilities needed to implement them.
In this webinar, Ontotext and metaphacts present a modular approach to R&D data discovery and knowledge consumption in Life Sciences & Pharma using metaphactory & GraphDB
In this webinar, Ontotext and metaphacts present an approach to kickstart your knowledge graph journey and get you from idea to production in days
Vassil Momtchev demonstrates how to combine local graph data with data residing in SQL systems into a performant data architecture.
Atanas Kiryakov will present a mindmap of KG applications and explain how Ontotext Platform supports the different stakeholders. Joe Hilger from Enterprise Knowledge, LLC will present a palette of use cases across Enterprise Architectures, Natural Language Search, Recommendation systems, Data Portals and Catalogues.
Join this webinar, where Ontotext CTO Vassil Momtchev and Head of Semantic Solutions, Ivaylo Kabakov in partnership with Semantic Web Company’s CTO Robert David, will talk about an increase in efficiency and scalability with the new PoolParty 8.0; the benefits of having GraphDB as a built-in database in terms of performance and reliability & more.
Connor Vilenio from Enterprise Knowledge will share his experiences with a basic approach to enhancing a taxonomy’s underlying graph model to support a recommendation system that suggests relevant content from a semantic model of the organization’s understanding of semantic relevancy.