Prueba
Páginas: 4 (905 palabras)
Publicado: 22 de noviembre de 2010
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...
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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