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
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;
Conference_Titel :
Data Mining, Fifth IEEE International Conference on
Print_ISBN :
0-7695-2278-5
DOI :
10.1109/ICDM.2005.30