From information to knowledge: harvesting entities and relationships from web sources
Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Artificial intelligence: past and future
Communications of the ACM
The evolution of human communication and the information revolution - A mathematical perspective
Mathematical and Computer Modelling: An International Journal
IEEE Transactions on Information Theory
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The problem of the growing semantic gap between mankind and the Digital Universe is formulated and explained by the help algorithmic information theory. We use The Digital Universe as not only the largest collection of information but as it is the anytime best approximation of the Universal Reference Machine. We demonstrate in a simple model how the information quantity of queries and answers can be estimated under the condition that the content of the database is known. Also, we can estimate the effect of database growth on the length of queries and answers. The problem of "What", Where" and "When" is addressed with some remarks on Big Data hype.