TY - GEN
T1 - Knowledge discovery using KNOW-IT (KNOWledge Base Information Tools)
AU - Liddy, E. D.
N1 - Publisher Copyright:
© 1998 IEEE.
PY - 1998
Y1 - 1998
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85051134789&partnerID=8YFLogxK
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U2 - 10.1109/IT.1998.713383
DO - 10.1109/IT.1998.713383
M3 - Conference contribution
AN - SCOPUS:85051134789
T3 - 1998 IEEE Information Technology Conference: Information Environment for the Future, IT 1998
SP - 67
EP - 70
BT - 1998 IEEE Information Technology Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1998 IEEE Information Technology Conference, IT 1998
Y2 - 3 September 1998
ER -