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1 – 2 of 2Mahmoud Shaker, Hamidah Ibrahim, Aida Mustapha and Lili Nurliyana Abdullah
The aim of this paper is to propose a strategy for extracting information from web tables.
Abstract
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.
Details