Domain Topic and Hidden Deep Web Data Extracting

DOI

10.2991/amcce-18.2018.151How to use a DOI?

Keywords

Web Data; Data extraction; Data Mining

Abstract

This paper mainly studies the method of extracting web data entities based on domain. Through the analysis of real estate industry websites, a topic-oriented topic extracting model is proposed, and the corresponding search strategy is given. In addition, for the case of depth information, a sorting-based classification extraction algorithm is designed for numerical data. Finally, an experimental example is given to verify the effectiveness of the algorithm.

Copyright

© 2018, 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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TY  - CONF
AU  - Liming Du
AU  - Abdulhamid Yahaya
AU  - Gui Li
AU  - Fengying Wang
AU  - Jie Dong
PY  - 2018/05
DA  - 2018/05
TI  - Domain Topic and Hidden Deep Web Data Extracting
BT  - Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SP  - 862
EP  - 866
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.151
DO  - 10.2991/amcce-18.2018.151
ID  - Du2018/05
ER  -