Figure 1: START's answer to the question “Who was president of the United States in 1881?” with knowledge from the World Wide Web.
Despite the effectiveness of START and Omnibase in solving user information needs, there are still several major unsolved challenges.
To address these challenges, we have pursued many different solutions. The following abstracts in this volume describe each of these technologies in greater detail:
This work is supported in part by the Disruptive Technology Office as part of the AQUAINT Phase 3 research program.
 Boris Katz. Annotating the World Wide Web Using Natural Language. In Proceedings of the 5th RIAO Conference on Computer Assisted Information Searching on the Internet (RIAO '97), Montreal, Canada, 1997.
 Boris Katz, Sue Felshin, Deniz Yuret, Ali Ibrahim, Jimmy Lin, Gregory Marton, Alton Jerome McFarland, and Baris Temelkuran. Omnibase: Uniform Access to Heterogeneous Data for Question Answering. In Proc. of the 7th Int. Workshop on Applications of Natural Language to Information Systems (NLDB '02), Stockholm, Sweden, June 2002.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
The Stata Center, Building 32 - 32 Vassar Street - Cambridge, MA 02139 - USA
tel:+1-617-253-0073 - firstname.lastname@example.org