Journal of Geo-information Science >
Multi-Dimensional Description and Spatio-temporal Visualization of News Events Based on RSS
Received date: 2013-08-13
Revised date: 2013-11-18
Online published: 2014-05-10
Traditional methods of news retrieval which return a series of related news-list that sorted by time or events such as Baidu, are lack of intuitive description in both temporal and spatial dimensions, as well as spatio-temporal development that related to news events. This paper presented a method of multi-dimensional description and spatio-temporal visualization of online RSS news events, which helps readers understand the spatio-temporal development of the whole news event. Firstly, this method pulled news from several well-known websites such as Baidu, Sina and Google News based on RSS (Really Simple Syndication) service, and then used a multi-dimensional description method to mark the spatial and temporal dimensions of RSS news. The method of temporal dimensional description defines news publishing time as news' occurrence time, while the method of spatial dimensional description dynamically parses and identifies Chinese geographical name from news description, and then matches them with their geographical coordinates. Spatial dimensional description method is the primary content of this article. This approach has been separated into four stages to accomplish the analyzing process: (i) XSL Transformation, which uses XSL(eXtensible Stylesheet Language) to transform a news RSS document into a HTML(Hypertext Markup Language) document;(ii) Description Extraction, which uses the regular expression to extract the news description from news HTML document;(iii) Chinese place Name Extraction, which uses ICTCLAS to extract geographic name from description;And (iv) Geocoding, which uses Google Geocoder API to get the geographical coordinates of the place name. At last, this paper demonstrated the spatio-temporal visualization of news events and made a brief analysis by setting H7N9 hot news as an example. In the analysis, temporal visualization used transition color to show the changes between two time nodes according to the amount of news, and then used line chart to show the variation tendency of the total amount of news. Furthermore, spatial visualization clustered news by province and used different-sized plots to indicate the diffidence of news amounts between two provinces.
SANG Peng, TANG Xinming, AI Bo, WANG Huabin . Multi-Dimensional Description and Spatio-temporal Visualization of News Events Based on RSS[J]. Journal of Geo-information Science, 2014 , 16(3) : 341 -348 . DOI: 10.3724/SP.J.1047.2014.00341
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