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DESCRIPTION:Click for Latest Location Information: http://smartdata2015.dataversity.net/sessionPop.cfm?confid=91&proposalid=7817\nMany large enterprises have invested in graph or linked data, or even full-blown ontologies, because their more flexible schemas augment and extend existing relational databases and other more traditional data stores.   \nIn this session we discuss how deep reasoning provides several critical capabilities, each required to realize business value that leverages these data investments: \n\nmore complex analytics\ncontext and mappings for data and system integration\nrepresenting more complex knowledge such as policies, regulations, and science\ncapturing subject matter experts' (SMEs) insights directly as data itself, with clean standard semantics (rather than buried in conventional program code that is hard to understand and reuse).   \nWe illustrate with examples from financial services policy automation, national intelligence analysis, e-commerce marketing, and other areas.  We discuss recent optimization techniques for scaling up the variety, volume, and velocity of Rulelog semantic rules in combination with graph databases, including bulk data import, dependency-aware updating of large stores of inferred data, and natural language templates for rule authoring by SMEs.
DTSTART:20150818T140000
SUMMARY:The Power of Deep Reasoning with Large Graph Data
DTEND:20150818T144459
LOCATION: See Description
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