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Content-based Discovery for Web Map Service using Support Vector Machine and User Relevance Feedback (Supporting Dataset)
Version 4 2016-11-01, 13:14
Version 3 2016-11-01, 11:31
Version 2 2016-11-01, 11:13
Version 1 2016-11-01, 11:06
dataset
posted on 2016-11-01, 13:14 authored by Kai HuKai Hu, Zhipeng Gui, Xiaoqiang Cheng, Kunlun Qi, Jie Zheng, Lan You, Huayi WuThis dataset provides the supporting files for the paper entitled "Content-based Discovery for Web Map Service using Support Vector Machine and User Relevance Feedback", which has been accepted by PLOS ONE. The DOI of the paper is 10.1371/journal.pone.0166098.
The dataset includes11689 layers from 653 OGC WMSs. It contains a archive of 11689 thumbnail images, two WMS layer metadata description files (in SQL script and CSV format respectively), an extracted image feature files and a data introduction document. Specially, the thumbnails are obtained by invoking WMS GetMap Operation for the available layers. The two layer metadata description files depict attribute fields of the layers, including keywords, abstract, boundingbox and etc. The image features were extracted from the WMS layer thumbnail images and contains total 11689 records.
If you are interested in this research, please contact with hukai@whu.edu.cn or zhipeng.gui@whu.edu.cn.
