DocumentCode :
2866235
Title :
Automatically mining result records from search engine response pages
Author :
Mundluru, Dheerendranath ; Katukuri, Jayasimha Reddy ; Celebi, Saygin
Author_Institution :
Center for Adv. Comput. Studies, Univ. of Louisiana, Lafayette, LA, USA
fYear :
2005
fDate :
27-30 Nov. 2005
Abstract :
Usually, Web applications such as deep Web crawlers, metasearch engines, and other Web mining systems need to extract information displayed in the form of result records on response pages returned by search engines in response to submitted queries. Extracting such records is challenging as search engines are heterogeneous in displaying their records. In addition, response pages returned by many search engines include other noisy content such as advertisements, suggestion links, etc., which make the extraction task even more complicated. In this paper, we propose a highly effective and efficient algorithm for automatically mining result records from search engine response pages.
Keywords :
Internet; data mining; search engines; Web applications; Web mining systems; automatically mining result records; deep Web crawlers; information extraction; metasearch engines; query submission; search engine response pages; search engines; Computer displays; Crawlers; Data mining; HTML; Humans; Metasearch; Search engines; Web mining; Web pages; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining, Fifth IEEE International Conference on
ISSN :
1550-4786
Print_ISBN :
0-7695-2278-5
Type :
conf
DOI :
10.1109/ICDM.2005.30
Filename :
1565773
Link To Document :
بازگشت