| Abstract |
The Large Scale Structure of Knowledge
What are the laws that govern the structure of very large knowledge bases?
Can we discover any regularities in the structure of very large knowledge bases?
Can we exploit these regularities to build better inference algorithms?
For increasing the graphs' robustness against inconsistency?
After more than 2000 years of logic, we have a very good understanding of the small scale structure of knowledge: inference rules, model-theoretic semantics, notions of inconsistency, of soundness and completeness. But we know very little about the structure of very large knowledge bases. Fortunately, since only a few years we actually have such very large knowledge bases, containing tens or even hundreds of millions of facts and rules about tens of millions of objects. We propose a systematic study of such very large knowledge graphs, to discover the laws that govern their structure, and to find out how we can exploit these laws to our advantage.
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