Cognitive Probability Graphs for Smart Knowledge Management
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  Jans Aasman   Jans Aasman
Franz Inc


Tuesday, January 31, 2017
11:30 AM - 12:15 PM

Level:  Technical - Intermediate

Graphs and Knowledge Management have gained significant visibility with the rebirth of artificial intelligence and emergence of cognitive computing. By combining artificial intelligence, big data, semantic technologies, graph databases, and dynamic visualizations, we will discuss deploying a Cognitive Probability Graph concept as a means to help predict future events across numerous types of industries.

Knowledge creation via Cognitive Probability Graphs stems from the capability to combine the probability space (statistical inference on patient data) with a knowledge base of comprehensive industry terminology systems. Cognitive Probability Graphs are remarkable not just because of the possibilities they engender, but also because of their practicality. The confluence of knowledge via machine learning, semantics, visual querying, graph databases, and big data not only displays links between objects, but also quantifies the probability of their occurrence. We believe this approach will be transformative across numerous business verticals.

During the presentation we will describe the Cognitive Probability Graph concepts using graph technologies combined with Hadoop, along with analytics via R, SPARK ML and other AI techniques. We will cover the commercial applicability to several domains including examples.

Jans Aasman started his career as an experimental and cognitive psychologist, earning his PhD in cognitive science with a detailed model of car driver behavior using Lisp and Soar. He has spent most of his professional life in telecommunications research, specializing in intelligent user interfaces and applied artificial intelligence projects. From 1995 to 2004, he was also a part-time professor in the Industrial Design department of the Technical University of Delft. Jans is currently the CEO of Franz Inc., the leading supplier of commercial, persistent, and scalable RDF database products that provide the storage layer for powerful reasoning and ontology modeling capabilities for Semantic Web applications.

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