Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)

A Double Semantic Network for Intelligent Search

Authors
Guogang Li, Tao Feng, Guoqiang Li, Hua Wang
Corresponding Author
Guogang Li
Available Online February 2013.
DOI
https://doi.org/10.2991/isccca.2013.99How to use a DOI?
Keywords
Double Semantic, network, Concept Network
Abstract
The traditional semantic network retrieval has the following two urgent problems to be solved . The first problem is that the two concepts on the surface look very relevant, but vocabulary used to describe the two concepts has no contact, and in fact ,the two concepts are very poorly correlated. The second problem is that the two concepts on the surface do not seem related, but many words used to describe the two concepts have the same or related aspects, and the two concepts actually have great correlation. We call the two kinds of phenomena “misjudge of the relationship” between the two concepts. The retrieval mechanism studied in this paper aims to synthesize direct relations and internal relations between concepts, and to establish a higher intelligent double semantic network retrieval of concept network and sememe network.
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Volume Title
Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
Series
Advances in Intelligent Systems Research
Publication Date
February 2013
ISBN
978-90-78677-63-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/isccca.2013.99How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Guogang Li
AU  - Tao Feng
AU  - Guoqiang Li
AU  - Hua Wang
PY  - 2013/02
DA  - 2013/02
TI  - A Double Semantic Network for Intelligent Search
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 403
EP  - 406
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.99
DO  - https://doi.org/10.2991/isccca.2013.99
ID  - Li2013/02
ER  -