- Dr. Brian Gaines
- Dr. Richard Benjamins
- Dr. James Fan
- Dr. Tom Gruber
- Dr. Bill Swartout
- Dr. Bob Wielinga
Dr. Richard Benjamins, Telefónica R&D
"Has 'Knowledge' been the driver?"
Abstract: In this talk I will review the impact of 25 years of research (which started as "Knowledge Acquisition") on society and industry, especially from a European perspective. I will also revisit the value of knowledge versus data and how that has evolved in the last 25 years.
Bio: Dr. V.R. (Richard) Benjamins is Director of User Modelling at Telefónica R&D where he is responsible for customer data intelligence. Previously he was Director of Technological Strategy at the same company which he joined in July 2007. Before joining Telefonica, he was director and board member at Intelligent Software Components (iSOCO), which he co-founded in 1999. Dr. Benjamins has held positions at the Technical University of Madrid, the University of Amsterdam, the University of Sao Paulo, Brazil, the University of Paris-South, France, and the Spanish Artificial Intelligence Research Institute in Barcelona.
Dr. James Fan, IBM |
"Building Watson A Brief Overview of DeepQA and the Jeopardy! Challenge"
Abstract: A computer system that can answer natural language questions over a broad range of knowledge with high accuracy and confidence has been envisioned by scientists and writers since the advent of computers themselves. Consider, for example, the "Computer" in Star Trek. The DeepQA project at IBM aims to take on this grand challenge by illustrating how the wide and growing accessibility of natural language content and the integration and advancement of Natural Language Processing, Information Retrieval, Machine Learning, Knowledge Representation and Reasoning, and massively parallel computation can drive open-domain automatic Question Answering technology to a point where it clearly and consistently rivals the best human performance. In this talk, we will give an overview of the DeepQA technology and describe how it was used to build Watson, the computer system that won the Jeopardy Man vs. Machine challenge in February 2011. Watson's ability to process and analyze vast amounts of unstructured data has the potential to transform busine