Title
A Survey on Region Extractors from Web Documents
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.
Year
DOI
Venue
2013
10.1109/TKDE.2012.135
IEEE Trans. Knowl. Data Eng.
Keywords
Field
DocType
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,Information extractors,enterprise information integration,region extractors,web documents,wrappers
Mashup,Data mining,Metasearch engine,World Wide Web,Relevance feedback,Content delivery,Information retrieval,Computer science,Feature extraction,Information extraction,Enterprise information integration,Web crawler
Journal
Volume
Issue
ISSN
25
9
1041-4347
Citations 
PageRank 
References 
39
1.23
103
Authors
2
Search Limit
100103
Name
Order
Citations
PageRank
Hassan A. Sleiman11038.33
Rafael Corchuelo238949.87