Affiliation:
1. Department of Computer Science, University of Oxford, UK
2. University of Oxford and TU Wien
3. University of Edinburgh
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.
Publisher
International Joint Conferences on Artificial Intelligence Organization
Cited by
20 articles.
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