Citation
Shaker, Mahmoud and Ibrahim, Hamidah and Mustapha, Aida and Abdullah, Lili Nurliyana
(2010)
A framework for extracting, classifying, analyzing, and presenting information from semi-structured web data sources.
Journal of Next Generation Information Technology, 1 (3).
pp. 106-114.
ISSN 2092-8637
Abstract
Extracting information from the web data sources becomes very important because the massive and increasing amount of diverse semi-structured information sources in the Internet that are available to users, and the variety of web pages making the process of information extraction from web a challenging problem. This paper proposes a framework for extracting, classifying, analyzing, and presenting semi-structured web data sources. The framework is able to extract relevant information from different web data sources, and classify the extracted information based on the standard classification scheme of Nokia products, which has been chosen as the case study.
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Additional Metadata
| Item Type: | Article |
|---|---|
| Subject: | Information storage and retrieval systems. |
| Subject: | Natural language processing (Computer science) |
| Subject: | Interactive computer systems. |
| Divisions: | Faculty of Computer Science and Information Technology |
| Keywords: | Information Extraction, Semi-Structured, Web Data Sources |
| Depositing User: | Umikalthom Abdullah |
| Date Deposited: | 24 Nov 2011 04:50 |
| Last Modified: | 24 Nov 2011 04:50 |
| URI: | http://psasir.upm.edu.my/id/eprint/12693 |
| Statistic Details: | View Download Statistic |
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