Extracting Actionable Contextual Knowledge from Semi-Structured Personal Data
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  Thierry Donneau-Golencer   Thierry Donneau-Golencer
Co-Founder and AI Lead
Tempo AI
 


 

Thursday, October 3, 2013
02:00 PM - 02:45 PM
Level:  Technology - Intermediate

Location:  Grand Ballroom

Personal data is scattered across multiple separate sources and is often cut off its original context. Turning unstructured and semi-structured data into personalized actionable knowledge in an accurate manner requires contextual and factual grounding, which this talk will cover:

· How to extract information from unstructured data and correlate that information with previously stored data to generate additional structured data in the form of knowledge

· The Cold Start and Chicken and Egg issues of personalized semantic systems and how to address it via an Adaptive Ontology and a Contextual Framework

· How to create a Contextual Framework around intents and events to make knowledge actionable in an accurate way

· Leveraging implicit and explicit training of a personalized semantic system learning in the wild

· How to transfer learning based on big data analysis


Thierry Donneau-Golencer is Co-Founder and AI Lead at Tempo AI, a spin-off of SRI International and maker of the Tempo Smart Calendar. Prior to funding Tempo, Thierry worked as a researcher in the AIC center at SRI International where he was involved with the CALO project and various other spin-offs.


   
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