Program

Research Areas

Subdomain vocabularies

Natural language
processing

Intelligent EVM agent

Access to numeric
databases


Evaluation methods

Cross-language retrieval

Projects

DARPA
   Unfamiliar Metadata

   TIDES Translingual

IMLS
Seamless
  Overview


   Prototypes

   One page summary

   Papers & reports

   Research Team

   Funding details

Prototypes


Papers

Seamless Searching of Numeric and Textual Resources

Principal Investigator:
Michael Buckland
Co-Investigators
Fred Gey, Ray Larson

Overview

This three year project aims to demonstrate improved access to written material and numerical data on the same topic when searching two very different kinds of databases (books, articles, and their bibliographic records) and numerical data (socio-economic databases).


The IMLS project builds directly on the Search Support for Unfamiliar Metadata Vocabularies funded by the Defense Advanced Research Projects Agency.

Both projects are part of the Metadata Research Program's studies of information selection techniques: bibliography, filtering, retrieval, and especially adaptive searching using multiple computers and multiple sources in a networked environment. Final Report.

Summary article: Michael Buckland, Aitao Chen, Fredric C. Gey, and Ray R. Larson. Search across Different Media: Numeric Data Sets and Text Files. Information Technology and Libraries 25, No. 4, (December 2006): 181-189. pdf