Read about three GraphDB-powered use cases in the areas of machine learning, software engineering, and e-health, which are poised to move our understanding and practices of interconnectedness forward by using semantic technologies.
Gergana Petkova
Teodora Petkova
Read this post about some of the primary problems of today’s enterprise data management and how knowledge graphs can solve them
Gergana Petkova
Read about the nature and key characteristics of knowledge graphs. It also outlines the benefits of formal semantics and how modeling graphs in RDF can help us easily identify, disambiguate and interconnect information
Gergana Petkova
Read about three inspiring GraphDB-powered use cases of connecting data in a meaningful way to enable smart buildings, interoperable design engineering and ontology-based air-traffic control
Gergana PetkovaTeodora Petkova
A bird’s eye view on where to start in building a knowledge graph solution to help your business excel in a data-driven market
Teodora PetkovaGergana Petkova
Read about the significance of data fabrics and knowledge graphs in modern data management to address the issue of complex, diverse and large-scale data ecosystems
Gergana Petkova