Abstract
Many modern companies wish to maintain knowledge in the form of a corporate knowledge graph and to use and manage this knowledge via a knowledge graph management system (KGMS). We formulate various requirements for a fully fledged KGMS. In particular, such a system must be
capable of performing complex reasoning tasks but, at the same time, achieve efficient and scalable reasoning over Big Data with an acceptable computational complexity. Moreover, a KGMS needs interfaces to corporate databases, the web, and machine-learning and analytics packages.
We present KRR formalisms and a system achieving these goals.
Keywords
- Knowledge Representation, Reasoning, and Logic: Computational Complexity of Reasoning
- Knowledge Representation, Reasoning, and Logic: Logics for Knowledge Representation
- Knowledge Representation, Reasoning, and Logic: Description Logics and Ontologies
- Multidisciplinary Topics and Applications: Database Systems
