Abstract
Once one has stored a large knowledge base of logical relationships, then what? One can query the knowledge base – if one knows what one wants to ask for. One can carry out reasoning toward various goals. And another important question is how to find “unknown unknowns” – patterns in the knowledge base that are surprising and interesting yet unexpected. This quest goes by multiple names – data mining, pattern mining, information exploitation, and so forth. Whatever you call it, it’s a difficult challenge because in any large dataset, the number of possible patterns to search through is mind-boggling.
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© 2011 Atlantis Press
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Goertzel, B., Geisweiller, N., Coelho, L., Janicic, P., Pennachin, C. (2011). Mining Patterns from Large Spatiotemporal Logical Knowledge Stores. In: Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference. Atlantis Thinking Machines, vol 1. Atlantis Press. https://doi.org/10.2991/978-94-91216-11-4_11
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DOI: https://doi.org/10.2991/978-94-91216-11-4_11
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