Application of Web Page Classification in a Domain-specific Search Engine

DOI

10.2991/iccasm.2012.144How to use a DOI?

Keywords

Web page classification, Search engine, Domainspecific knowledge, Dictionary

Abstract

Automatic web page classification can be used in domain-specific search engines to help users get the specific information more conveniently and precisely on Internet. The semantic similarity and noisy data in domain-specific web pages make traditional classifier perform poorly on them. In this paper, a dictionary-based multilingual web page classification method is proposed to try to improve the classification performance. A domain-specific dictionary is constructed in the method to intensify the domain-specific knowledge in the pages. An automatic encoding detection and integration method is also introduced in the classifier to extract Chinese and English information precisely from the multilingual pages. After verified in the experiments, the method is integrated into a real domain-specific search engine where it shows good effectiveness.

Copyright

© 2012, 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/).

Download article (PDF)

TY  - CONF
AU  - Chunyan Liang
PY  - 2012/08
DA  - 2012/08
TI  - Application of Web Page Classification in a Domain-specific Search Engine
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 568
EP  - 570
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.144
DO  - 10.2991/iccasm.2012.144
ID  - Liang2012/08
ER  -