2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

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
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.203How 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  - 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  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.203
DO  - https://doi.org/10.2991/icsem.2013.203
ID  - LI2013/04
ER  -