Semantic Knowledge for Commodity Computing: Myth or Reality? Focus on Information Mining and Intelligence: How Much Inference Is Needed?


July 19, 2011


Susan Dumais, Luke Zettlemoyer, Amit Sheth, and M. Srikanth


Microsoft, University of Washington, Wright University


Evelyne Viegas chairs this session at Faculty Summit 2011, which includes the following presentations.

  • Text and Context: Using Context to Better Understand Searcher’s Intentions—Susan Dumais, Microsoft Research
  • Learning to Map Sentences to Meaning—Luke Zettlemoyer, University of Washington
  • Citizen Sensing – Opportunities and Challenges in Mining Social Signals and Perceptions—Amit Sheth, Wright University
  • Semantics and Knowledge-Enabled Experiences for Search and Discovery—M. Srikanth, Microsoft


Susan Dumais, Luke Zettlemoyer, Amit Sheth, and M. Srikanth

Susan is a senior researcher in the Adaptive Systems and Interaction Group. Her research focuses on algorithms and interfaces for improved information retrieval, as well as general issues in human-computer interaction. Since coming to Microsoft three years ago she has worked on text classification and clustering, web search, implicit queries, and collaborative information retrieval. Additional details, papers, etc. are available on her web page –