Extracting traffic information from web texts with a D-S evidence theory based approach
文献类型：会议论文
| 作者 | Lu Feng |
| 出版日期 | 2013 |
| 会议名称 | 2013 21st International Conference on Geoinformatics, Geoinformatics 2013, June 20, 2013 - June 22, 2013 |
| 会议地点 | Kai Feng, China |
| 关键词 | Street traffic control Natural language processing systems Websites |
| 英文摘要 | Web texts, such as web pages, BBS, or microblogs, usually contain a great amount of real-time traffic information, which can be expected to become an important data source for city traffic collection. However, due to the characteristics of ambiguity and uncertainty in the description of traffic condition with natural language, and the difference of description quality for web texts among various publishers and text types, there may exist much inconsistency, or even contradiction for the traffic condition on similar spatial-temporal contexts. An efficient information fusion process is crucial to take advantage of the mass web sources for real-time traffic collection. In this paper, we propose a traffic state extraction approach from massive web texts based on D-S evidence theory to solve the above problem. Firstly, an evaluation index system for the traffic state information collected from the web texts is built with the help of semantic similarity based on Wikipedia, to eliminate ambiguity. Then, D-S evidence theory is adopted to judge and fuse the extracted traffic state information, with evidence combination and decision, which can solve the problem of uncertainty and difference. An experiment shows that the presented approach can effectively judge the traffic state information contained in massive web texts, and can fully utilize the data from different websites. Meanwhile, the proposed approach is arguably more accurate than the traditional text clustering algorithm. 2013 IEEE. |
| 收录类别 | EI |
| 会议录出版者 | IEEE Computer Society |
| 语种 | 英语 |
| ISSN号 | 2161024X |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/31039]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Lu Feng. Extracting traffic information from web texts with a D-S evidence theory based approach[C]. 见:2013 21st International Conference on Geoinformatics, Geoinformatics 2013, June 20, 2013 - June 22, 2013. Kai Feng, China. |
入库方式： OAI收割
来源：地理科学与资源研究所
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