DocumentCode
22643
Title
A Survey on Region Extractors from Web Documents
Author
Sleiman, Hassan A. ; Corchuelo, Rafael
Author_Institution
ETSI Inf., Univ. of Sevilla, Sevilla, Spain
Volume
25
Issue
9
fYear
2013
fDate
Sept. 2013
Firstpage
1960
Lastpage
1981
Abstract
Extracting information from web documents has become a research area in which new proposals sprout out year after year. This has motivated several researchers to work on surveys that attempt to provide an overall picture of the many existing proposals. Unfortunately, none of these surveys provide a complete picture, because they do not take region extractors into account. These tools are kind of preprocessors, because they help information extractors focus on the regions of a web document that contain relevant information. With the increasing complexity of web documents, region extractors are becoming a must to extract information from many websites. Beyond information extraction, region extractors have also found their way into information retrieval, focused web crawling, topic distillation, adaptive content delivery, mashups, and metasearch engines. In this paper, we survey the existing proposals regarding region extractors and compare them side by side.
Keywords
Web sites; document handling; relevance feedback; search engines; Web crawling; Web document complexity; Web sites; adaptive content delivery; information extraction; information retrieval; mashups; metasearch engines; region extractors; topic distillation; Data mining; Engines; Feature extraction; HTML; Metasearch; Proposals; Search engines; Information extractors; enterprise information integration; region extractors; web documents; wrappers;
fLanguage
English
Journal_Title
Knowledge and Data Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1041-4347
Type
jour
DOI
10.1109/TKDE.2012.135
Filename
6231632
Link To Document