Automatic Construction of Networks of Concepts Characterizing Document Databases

Hsinchun Chen, Kevin J. Lynch

Research output: Contribution to journalArticle

131 Citations (Scopus)

Abstract

The results of a study that involved the creation of knowledge bases of concepts from large, operational textual databases are reported. Two East-bloc computing knowledge bases, both based on a semantic network structure, were created automatically using two statistical algorithms. With the help of four East-bloc computing experts, we evaluated the two knowledge bases in detail in a concept-association experiment based on recall and recognition tests. In the experiment, one of the knowledge bases that exhibited the asymmetric link property out-performed all four experts in recalling relevant concepts in East-bloc computing. The knowledge base, which contained about 20 000 concepts (nodes) and 280 000 weighted relationships (links), was incorporated as a thesaurus-like component into an intelligent retrieval system. The system allowed users to perform semantics-based information management and information retrieval via interactive, conceptual relevance feedback.

Original languageEnglish (US)
Pages (from-to)885-902
Number of pages18
JournalIEEE Transactions on Systems, Man and Cybernetics
Volume22
Issue number5
DOIs
StatePublished - 1992

Fingerprint

Semantics
Thesauri
Information retrieval
Information management
Experiments
Feedback

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Automatic Construction of Networks of Concepts Characterizing Document Databases. / Chen, Hsinchun; Lynch, Kevin J.

In: IEEE Transactions on Systems, Man and Cybernetics, Vol. 22, No. 5, 1992, p. 885-902.

Research output: Contribution to journalArticle

@article{d0e99e7b03134b3596e8222fb6222e63,
title = "Automatic Construction of Networks of Concepts Characterizing Document Databases",
abstract = "The results of a study that involved the creation of knowledge bases of concepts from large, operational textual databases are reported. Two East-bloc computing knowledge bases, both based on a semantic network structure, were created automatically using two statistical algorithms. With the help of four East-bloc computing experts, we evaluated the two knowledge bases in detail in a concept-association experiment based on recall and recognition tests. In the experiment, one of the knowledge bases that exhibited the asymmetric link property out-performed all four experts in recalling relevant concepts in East-bloc computing. The knowledge base, which contained about 20 000 concepts (nodes) and 280 000 weighted relationships (links), was incorporated as a thesaurus-like component into an intelligent retrieval system. The system allowed users to perform semantics-based information management and information retrieval via interactive, conceptual relevance feedback.",
author = "Hsinchun Chen and Lynch, {Kevin J.}",
year = "1992",
doi = "10.1109/21.179830",
language = "English (US)",
volume = "22",
pages = "885--902",
journal = "IEEE Transactions on Systems, Man and Cybernetics",
issn = "0018-9472",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "5",

}

TY - JOUR

T1 - Automatic Construction of Networks of Concepts Characterizing Document Databases

AU - Chen, Hsinchun

AU - Lynch, Kevin J.

PY - 1992

Y1 - 1992

N2 - The results of a study that involved the creation of knowledge bases of concepts from large, operational textual databases are reported. Two East-bloc computing knowledge bases, both based on a semantic network structure, were created automatically using two statistical algorithms. With the help of four East-bloc computing experts, we evaluated the two knowledge bases in detail in a concept-association experiment based on recall and recognition tests. In the experiment, one of the knowledge bases that exhibited the asymmetric link property out-performed all four experts in recalling relevant concepts in East-bloc computing. The knowledge base, which contained about 20 000 concepts (nodes) and 280 000 weighted relationships (links), was incorporated as a thesaurus-like component into an intelligent retrieval system. The system allowed users to perform semantics-based information management and information retrieval via interactive, conceptual relevance feedback.

AB - The results of a study that involved the creation of knowledge bases of concepts from large, operational textual databases are reported. Two East-bloc computing knowledge bases, both based on a semantic network structure, were created automatically using two statistical algorithms. With the help of four East-bloc computing experts, we evaluated the two knowledge bases in detail in a concept-association experiment based on recall and recognition tests. In the experiment, one of the knowledge bases that exhibited the asymmetric link property out-performed all four experts in recalling relevant concepts in East-bloc computing. The knowledge base, which contained about 20 000 concepts (nodes) and 280 000 weighted relationships (links), was incorporated as a thesaurus-like component into an intelligent retrieval system. The system allowed users to perform semantics-based information management and information retrieval via interactive, conceptual relevance feedback.

UR - http://www.scopus.com/inward/record.url?scp=0000352692&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0000352692&partnerID=8YFLogxK

U2 - 10.1109/21.179830

DO - 10.1109/21.179830

M3 - Article

AN - SCOPUS:0000352692

VL - 22

SP - 885

EP - 902

JO - IEEE Transactions on Systems, Man and Cybernetics

JF - IEEE Transactions on Systems, Man and Cybernetics

SN - 0018-9472

IS - 5

ER -