IDRA: An ontology driven Cognitive Computing System
نویسنده
چکیده
The problem I intend to address in my PhD research is the leak of quality of the information extracted from Big Data using only a statistical approach. Google Flu is an explanatory example of how the knowledge extraction of Big Data based only on statistical methods could produce low quality results and lead to a misinterpretation of reality. Could it be feasible and effective to design a system that is able to leverage ontologies to balance the limits of statistical methods? Here I present an architecture of an ontology driven Cognitive Computing System that leverages ontologies to filter statistical data.
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