Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)

A Semantic Parsing Model Applied into Search Engine

Authors
Ying LI, Xiang Feng WEI, Yu Huan CHI
Corresponding Author
Ying LI
Available Online April 2013.
DOI
10.2991/icsem.2013.203How to use a DOI?
Keywords
Natural language processing. Semantic parsing model. Conceptual Structures. The theory of HNC. Search Engine.
Abstract

It is a tough work to select accurate web pages for search engine. This paper applied a semantic parsing model into search engine by comparing the conceptual structures between user’s input and text. The words, sentences and sentence groups can be mapped into conceptual symbols, semantic categories, and contextual elements based on the theory of Hierarchical Network of Concepts. The approach will improve the intelligence and flexibility of the search engine in future.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
Series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
10.2991/icsem.2013.203How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ying LI
AU  - Xiang Feng WEI
AU  - Yu Huan CHI
PY  - 2013/04
DA  - 2013/04
TI  - A Semantic Parsing Model Applied into Search Engine
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 968
EP  - 971
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.203
DO  - 10.2991/icsem.2013.203
ID  - LI2013/04
ER  -