Information Technology Reference
In-Depth Information
Large Scale Reasoning on the Semantic Web:
What to Do When Success Is Becoming a
Problem
Frank van Harmelen
AI Department
Vrije Universiteit Amsterdam, The Netherland
Frank.van.Harmelen@cs.vu.nl
In recent years, the Semantic Web has seen rapid growth in size (many billions
of facts and rules are now available) and increasing adoption in many sectors
(government, publishing industry, media). This success has brought with it a
whole new set of problems: storage, querying and reasoning with billions of facts
and rules that are distributed across different locations. The Large Knowledge
Collider (LarKC) is providing an infrastructure to solve such problems. LarKC
exploits parallelisation, distribution and approximation to enable Semantic Web
reasoning at arbitrary scale. In this presentation we will describe the architec-
ture and implementation of the Large Knowledge Collider, we will give data on
its current performance, and we will describe a number of use-cases that are
deploying LarKC.
