Title :
Knowledge discovery using KNOW-IT (KNOWledge Base Information Tools)
Author :
Liddy, Elizabeth D.
Author_Institution :
TextWise Inc., Syracuse, NY, USA
Abstract :
KNOW-IT is an integrated suite of robust tools which transform vast, unmanageable bodies of raw textual data into accessible and surveyable intelligence. Unlike most other information extraction systems, KNOW-IT extracts domain independent, time stamped information from various types of texts including news texts, utilizing more general semantic relations to link concepts which occur. KNOW-IT is an end-to-end system which takes raw texts as input and generates a knowledge base that can be utilized for a variety of information access systems, such as a visual knowledge base browser and a question-answering system
Keywords :
information retrieval; knowledge acquisition; word processing; KNOW-IT; KNOWledge Base Information Tools; domain independent data; end-to-end system; general semantic relations; information access systems; information extraction systems; integrated suite; knowledge discovery; news texts; question-answering system; raw textual data; robust tools; surveyable intelligence; time stamped information; visual knowledge base browser; Data mining; Information analysis; Knowledge based systems; Navigation; Ontologies; Research and development; Robustness; Technological innovation; Visual databases; World Wide Web;
Conference_Titel :
Information Technology Conference, 1998. IEEE
Conference_Location :
Syracuse, NY
Print_ISBN :
0-7803-9914-5
DOI :
10.1109/IT.1998.713383
