MapMarker: Extraction of Postal Addresses and Associated Information for General Web Pages

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...

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Vydáno v:2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Ročník 1; s. 105 - 111
Hlavní autoři: Chang, Chia-Hui, Li, Shu-Ying
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.08.2010
Témata:
address extraction
associated information extraction
Conditional random fields
Data mining
Feature extraction
Hidden Markov models
Information retrieval
Labeling
Random variables
Urban areas
Web pages
Web sites
ISBN:9781424484829, 1424484820
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Abstract 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.
AbstractList 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.
Author Chang, Chia-Hui
Li, Shu-Ying
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  givenname: Shu-Ying
  surname: Li
  fullname: Li, Shu-Ying
  email: 965202104@cc.ncu.edu.tw
  organization: Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Jhongli, Taiwan
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Snippet 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...
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StartPage 105
SubjectTerms address extraction
associated information extraction
Conditional random fields
Data mining
Feature extraction
Hidden Markov models
Information retrieval
Labeling
Random variables
Urban areas
Web pages
Web sites
Title MapMarker: Extraction of Postal Addresses and Associated Information for General Web Pages
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