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.
Improve engagement, discoverability and personalized recommendations for Financial and Business Media, Market Intelligence and Investment Information Agencies,Science, Technology and Medicine Publishers, etc.
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.
Jarred McGinnis and Atanas Kiryakov will provide introduction to knowledge graphs and will present application patterns and use cases in media, financial services, pharma and government. They will also present 10-step methodology to develop enterprise knowledge graphs and make an overview of the Ontotext Platform.
We created a JDBC driver that transforms SQL to SPARQL and allows applications such as Tableau and Power BI to directly query GraphDB. The webinar will provide a brief overview of the GraphDB JDBC Driver and present features such as SQL-to-SPARQL transformation and Query optimization.
In this webinar, Atanas Kiryakov and Andreas Blumauer will explain why semantic knowledge graphs play a central role in improving data analytics, data governance, content management or-on the business-side-decision making, customer satisfaction and knowledge discovery.
Learn how to use reasoning to enrich big knowledge graphs with new relationships. We introduce inference and RDFS and OWL standards for semantic schemata. Reasoning with GraphDB is demonstrated on a graph of 2 billion facts. We discuss typical pitfalls: over-engineered ontologies and inappropriate data architectures.
Join the webinar to understand GraphQL federation and its ability to scale RDF based Knowledge Graph projects. Discussion topics will include topics like, What is GraphQL?; Bridging GraphQL and RDF; Bounded context architectures and improving team velocity; GraphQL federation.
The RDF*/SPARQL* was initially developed as a specification enabling the RDF model to match the expressivity of the property graph models and assign meta-data on the RDF statement level. In this talk, Vassil will give a practical tutorial on the various options to model statement-level meta-data and what’s new in GraphDB 9.2.
Save your seat for this live GraphDB Fundamentals webinar, demonstrating how GraphDB can help you manage vast amounts of unstructured and structured data and deliver deep insights over billions of facts.
In this webinar, Desislava Hristova we will demonstrate the new features of GraphDB 9.0 and 9.1, including validation of all newly inserted RDF with SHACL validation schema; Kerberos support; the major redesign of the database Plugin API; the opening of the GraphDB Workbench as a separate open-source project.