DocumentCode :
1476112
Title :
Building a large knowledge base from a structured source
Author :
Frank, Gleb ; Farquhar, Adam ; Fikes, Rithard
Author_Institution :
Stanford Univ., CA, USA
Volume :
14
Issue :
1
fYear :
1999
Firstpage :
47
Lastpage :
54
Abstract :
To exploit the value of knowledge-rich documents online, they must be transformed into large-scale knowledge bases. The authors describe their experiences in creating such a knowledge base from the Central Intelligence Agency´s World Fact Book which contains geographical, economic, and sociological facts about countries and territories of the world
Keywords :
document handling; knowledge acquisition; knowledge based systems; knowledge representation; CIA; Central Intelligence Agency; World Fact Book; economic facts; geographical facts; knowledge acquisition; knowledge representation; knowledge-rich documents; large knowledge base; sociological facts; structured source; Artificial intelligence; Buildings; Computer science; Data mining; HTML; Libraries; Ontologies; Petroleum; SGML; Taxonomy;
fLanguage :
English
Journal_Title :
Intelligent Systems and their Applications, IEEE
Publisher :
ieee
ISSN :
1094-7167
Type :
jour
DOI :
10.1109/5254.747905
Filename :
747905
Link To Document :
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