A strategy for extracting information from semi-structured web pages.
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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/12868/ |
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| Institution: | Universiti Putra Malaysia |
| Language: | English |
| Summary: | 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. |
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