Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)

Research on Semi-Automatic Domain Ontology Construction Framework Based on Web Crawler

Authors
Xuejun YU, Guangpeng SHEN
Corresponding Author
Xuejun YU
Available Online July 2013.
DOI
10.2991/iccnce.2013.103How to use a DOI?
Keywords
Ontology Learning, Web crawler, Semi-automatic construction
Abstract

Now the ontology construction is mainly based on manual mode, the whole process requires a lot of manpower and material resources.In this paper we proposed a semi-automatic domain ontology construction framework based on web crawler. The framework can fetch domain data on network and extract semantic knowledge through language methodology and statistical methods. Finally, we construct ontology using the domain ontology modeling method based on extensions. The framework can save the investment of manpower and human resources in the manual construction mode.

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 International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
July 2013
ISBN
978-90-78677-67-3
ISSN
1951-6851
DOI
10.2991/iccnce.2013.103How 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  - Xuejun YU
AU  - Guangpeng SHEN
PY  - 2013/07
DA  - 2013/07
TI  - Research on Semi-Automatic Domain Ontology Construction Framework Based on Web Crawler
BT  - Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
PB  - Atlantis Press
SP  - 413
EP  - 416
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccnce.2013.103
DO  - 10.2991/iccnce.2013.103
ID  - YU2013/07
ER  -