ML Anthology

Knowledge Base Discovery Tool

Erik Eilerts, Kathleen O'Neil Lossau, Christopher York
AAAI 1999 pp. 904-905
/aaai/1999/eilerts1999aaai-knowledge/

Abstract

The Knowledge Base Discovery Tool (KBDT) is a suite of tools and components to improve the indexing of and search for documents. KBDT extracts and displays content from documents and builds knowledge indexes based on meaning, rather than keywords. KBDT uses the indexes to perform more intelligent searches. It also includes visualization technology to display relevant results using multi-media, rather than plain text. This paper describes prototypes of two tools in this suite that use components for searching, extraction, and display of requested information. The tools are the Knowledge

PDF AAAI Semantic Scholar

Cite

Text

Eilerts et al. "Knowledge Base Discovery Tool." AAAI Conference on Artificial Intelligence, 1999.

Markdown

[Eilerts et al. "Knowledge Base Discovery Tool." AAAI Conference on Artificial Intelligence, 1999.](https://mlanthology.org/aaai/1999/eilerts1999aaai-knowledge/)

BibTeX

@inproceedings{eilerts1999aaai-knowledge,
  title     = {{Knowledge Base Discovery Tool}},
  author    = {Eilerts, Erik and Lossau, Kathleen O'Neil and York, Christopher},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1999},
  pages     = {904-905},
  url       = {https://mlanthology.org/aaai/1999/eilerts1999aaai-knowledge/}
}