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A Self-organizing

Semantic

Map
Xia
Lin

for

Information

Retrieval

Dagobert

Soergel

Gary
College

Marchionini

of Library and Information Services University of MarylandMaryland 20742 College Park,

he emphasized ABSTRACT A neural Kohonen’s organizing semantic input potentials retrieval prototype described. network’s map, map and data for with unsupervised isapplied learning algorithm, of information distributions searching for feature semantic map to constructing a selfThe for information retrieval. semantic relationships between properties include using thisof economic The as a A is their interrelationships. the map system. potential bibliographic analysis

that “natural can come of words”.

characterization from Thus, analysis the role

andorganization of frequencies of computers and in

should not simply and discovery

be a search mechanism of semantic relationships processes

but a tool within lead

and among documents. He assumedthat “the same cognitive to the highly He then correlated placement drew lead to the recognition particularly semantic difficult involved of such pairs attention “psychological however, any which ofwords in text can also searchers”. of his in the brain. maps what twowill be

visualizes of

documents,

has map

representation

by literature map”

of the semantic interface system thatto similarities

an online

map and possible to represent and “we

demonstrates

The difficulties dimensionally” As we will

he encountered,

were that “it is very exactly

associativedo not know Doyle’s network input and

in such use of a computer”. see later, neural approach Emphasis is remarkably and to of to on frequencies map similar of to current approaches,

t.INTRODUCTION
Recent increased interest in artificial neural networks come and map &

similar Kohonen’s

feature map in particular. of underlying role in producing map in the brain,

and...
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