Text Content Pushing Technology Research Based on Location and Topic

6th Digital Earth Summit

地球科学;计算机科学

Wei, Dongqi^1,2 ; Wei, Jianxin^3,4 ; Wumuti, Naheman^4 ; Jiang, Baode^2

Xi'An Center of Geological Survey, CGS, Xi'an, China^1

National Engineering Research Center for Geographic Information System, China University of Geosciences(Wuhan), Wuhan, China^2

College of Resources and Environment Sciences, Xinjiang University, Urumqi, China^3

Xinjiang Land and Resources Information Center, Urumqi, China^4

关键词: content pushing;    Geographic location;    Geological background;    Location information;    Related algorithms;    Technology research;    Text data;    topic;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/46/1/012025/pdf
DOI  :  10.1088/1755-1315/46/1/012025

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

In the field, geological workers usually want to obtain related geological background information in the working area quickly and accurately. This information exists in the massive geological data, text data is described in natural language accounted for a large proportion. This paper studied location information extracting method in the mass text data; proposed a geographic location - geological content - geological content related algorithm based on Spark and Mapreduce2, finally classified content by using KNN, and built the content pushing system based on location and topic. It is running in the geological survey cloud, and we have gained a good effect in testing by using real geological data.