Title of article :
Information discovery from semi-structured sources – Application to astronomical literature Original Research Article
Author/Authors :
Taoufiq Dkaki، نويسنده , , Bernard Dousset، نويسنده , , Daniel Egret، نويسنده , , Josiane Mothe، نويسنده ,
Issue Information :
دوهفته نامه با شماره پیاپی سال 2000
Pages :
9
From page :
198
To page :
206
Abstract :
Textual information systems provide different kinds of information seeking that answer different user needs. Among them, knowledge discovery systems aim at providing global views and useful patterns from raw information. This paper presents a framework to discover knowledge from semi-structured documents and visualize it through graphical views. An application to astronomical literature is given.
Keywords :
Trend analysis , Information mining , Information evolution , Astronomical literature
Journal title :
Computer Physics Communications
Serial Year :
2000
Journal title :
Computer Physics Communications
Record number :
1135363
Link To Document :
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