Keynote:- Chris Welty - Semantic Technology in Watson Event
- Time:
- 09:15 - 10:15
- Date:
- 24 July 2014
- Venue:
- Highfield Campus, Building 67/1027
For more information regarding this event, please telephone Claire Wyatt on 02380 592738 or email c.wyatt@soton.ac.uk .
Event details
As part of this year’s Web Science Summer School hosted by the Centre for Doctoral Training and the Web Science Institute, we are providing a series of keynote talks starting Monday 21st July through to Friday 25th July and we are opening up the keynote talks to you all. Spaces are limited.
Watson is a computer system capable of answering rich natural language questions and estimating its confidence in those answers at a level rivalling the best humans at the task. On Feb 14-16, 2011, in an historic event, Watson triumphed, in a widely televised broadcast of the American quiz show Jeopardy!, over the best human players of all time. In this talk I will discuss how Watson works at a high level with examples from the show, and concentrate on the use of semantic technology in Watson.
Speaker information
Dr Chris Welty,IBM Research ,Chris Welty is a visiting Professor of Computer Science at the VU University, Amsterdam, and was a Research Scientist at the IBM T.J. Watson Research Center in New York from 2002-2014. Previously, he taught Computer Science at Vassar College, taught at and received his Ph.D. from Rensselaer Polytechnic Institute, and accumulated over 14 years of teaching experience before moving to industrial research. Chris' principal area of research is the role of semantic technology in deep analytic problems such as natural language processing. He led three technical teams in IBM's Watson project: structured knowledge exploitation, rapid domain adaptation, and crowdsourcing. Dr. Welty was a co-chair of the W3C Rules Interchange Format Working Group (RIF), serves on the steering committee of the International Semantic Web Conferences (ISWC), is past president of KR.ORG, on the editorial boards of AI Magazine, The Journal of Applied Ontology, and The Journal of Web Semantics, and was an editor in the W3C Web Ontology Working Group (OWL). While on sabbatical in 2000, he co-developed the OntoClean methodology with Nicola Guarino.