A strategy for extracting information from semi-structured web pages.

• Main Authors: Shaker, Mahmoud, Ibrahim, Hamidah, Mustapha, Aida, Abdullah, Lili Nurliyana
• Format: Article
• Language: English
• Published: 2010
• Online Access: http://psasir.upm.edu.my/id/eprint/12868/
• Institution: Universiti Putra Malaysia

Purpose – The aim of this paper is to propose a strategy for extracting information from web tables. Design/methodology/approach – The paper presents a strategy for extracting information from web tables of semi-structured web pages (WPs) by handling the issue of synonym which emerges as these WPs have been designed and created without referring to any standards or guidelines. Findings – The paper finds that this strategy extracts information with high precision, and extracts the attributes besides the sub-attributes that describe the extracted attributes and values of the sub-attributes. Practical implications – Experiment conducted on the Nokia products domain demonstrated that the proposed strategy extracts information from web tables with high precision which is 98.98 percent. Originality/value – This paper contributes to the research on extracting information.