Research on Geographic Information Extraction Based on Knowledge Graph

DOI

10.2991/icammce-18.2018.66How to use a DOI?

Keywords

Knowledge Graph, Web information extraction, Placename extraction, Web page annotation

Abstract

In the rapid development of the Internet, in order to achieve the effective extraction of geographical names information, the study of location information extraction of web on the basis of the Chinese knowledge map CN-DBpedia is carried out. The Chinese geographical names are obtained from Wikipedia based on statistics. And the attribute value dictionary is built on the basis of CN-DBpedia, which can be used to automatically annotate the data items of the web pages. Compared with manual annotation, this method has higher accuracy and recall rate, which can significantly save human resources and greatly improve the efficiency of information acquisition.

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  - Zhenyang Ren
AU  - Hongzhi Yu
AU  - Fucheng Wan
PY  - 2018/05
DA  - 2018/05
TI  - Research on Geographic Information Extraction Based on Knowledge Graph
BT  - Proceedings of the 2018 3rd International Conference on Advances in Materials, Mechatronics and Civil Engineering (ICAMMCE 2018)
PB  - Atlantis Press
SP  - 297
EP  - 302
SN  - 2352-5401
UR  - https://doi.org/10.2991/icammce-18.2018.66
DO  - 10.2991/icammce-18.2018.66
ID  - Ren2018/05
ER  -