Auer is a Data Science professor with many contributions in Knowledge Graph research and is leading ORKG. Dr. Auer identified two key issues in scientific research.

They enable Enterprise Knowledge Graphs to expediently encompass data of all types to provide the comprehensive analytic experience for which these platforms are ... Visiting Scientist at the Computer ...

Sometimes, you can enter into a technology too early. The groundwork for semantics was laid down in the late 1990s and early 2000s, with Tim Berners-Lee's stellar Semantic Web article, debuting in ...

This is a guest blogpost by Jim Webber, Chief Scientist at graph database provider Neo4j. It discusses Knowledge Graph-based digital twin technology for better supply chain management. What links ...

Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

Digital Science has completed the acquisition of metaphacts, which has become the newest member of the Digital Science family. Based in Germany, metaphacts is a knowledge graph and decision ...

The application of graph processing and graph DBMSs will grow at 100 percent annually through 2022 to continuously accelerate data preparation and enable more complex and adaptive data science.

Graph knowledge-based systems can enable composition of Cloud-native services into event-driven dataflow processes; ... This problem is addressed by an established computer science principle, ...