MapMarker: Extraction of postal addresses and associated information for general web pages

Chia Hui Chang, Shu Ying Li

研究成果: 書貢獻/報告類型會議論文篇章同行評審

21 引文 斯高帕斯(Scopus)

摘要

Address information is essential for people's daily life. People often need to query addresses of unfamiliar location through Web and then use map services to mark down the location for direction purpose. Although both address information and map services are available online, they are not well combined. Users usually need to copy individual address from a Web site and paste it to another Web site with map services to locate its direction. Such copy and paste operations have to be repeated if multiple addresses are listed on a single page such as public school list or apartment list. Furthermore, associated information with individual address has to be copied and included on each marker for better comprehension. Our research is devoted to automate the above process and make the combination an easier task for users. The main techniques applied here include postal address extraction and associated information extraction. We apply sequence labeling algorithm based on Conditional Random Fields (CRFs) to train models for address extraction. Meanwhile, using the extracted addresses as landmarks, we apply pattern mining to identify the boundaries of address blocks and extract associated information with each individual address. The experimental result shows high F-score at 91% for postal address extraction and 87% accuracy for associated information extraction.

原文???core.languages.en_GB???
主出版物標題2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
頁面105-111
頁數7
DOIs
出版狀態已出版 - 2010
事件2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010 - Toronto, ON, Canada
持續時間: 31 8月 20103 9月 2010

出版系列

名字Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
1

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???event.eventtypes.event.conference???2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
國家/地區Canada
城市Toronto, ON
期間31/08/103/09/10

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