Workshop I: Dynamic Searches and Knowledge Building

October 1 - 5, 2007

Overview

This workshop will explore the interactions between search and knowledge. We are interested in exploring how existing or acquired knowledge – about a user, a domain, or the world – can be used to improve the search for information, and in turn how search can be used to improve knowledge models. We wish to explore mathematical techniques that exploit semantic structures (e.g. description logics, ontologies, or semantic graphs) to drive statistical or logical inference for search query understanding or knowledge building.

Topics of interest include:

  • Natural Language Question Answering
  • User-tailored search
  • Textual entailment
  • Knowledge Discovery and Data Mining
  • Analysis and organization of search results
  • Measures of document or semantic similarity
  • Multi-media data mining and semantic annotation, including images, video and audio
  • Applications integrating search and knowledge (e.g. biomedicine, customer relationship management)

Organizing Committee

Jennifer Chu-Carroll (IBM Watson Research Center)
Ronald Coifman (Yale University)
Carey Priebe (Johns Hopkins University, Center for Imaging Science/Applied Mathematics and Statistics)
Karin Verspoor, Chair (Los Alamos National Laboratory, CCS-3)