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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
A survey of Web information extraction systems
IEEE Transactions on Knowledge and Data Engineering, Volume 18, No. 10, Article 1683775, Year 2006
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Description
The Internet presents a huge amount of useful information which is usually formatted for its users, which makes it difficult to extract relevant data from various sources. Therefore, the availability of robust, flexible Information Extraction (IE) systems that transform the Web pages into program-friendly structures such as a relational database will become a great necessity. Although many approaches for data extraction from Web pages have been developed, there has been limited effort to compare such tools. Unfortunately, in only a few cases can the results generated by distinct tools be directly compared since the addressed extraction tasks are different. This paper surveys the major Web data extraction approaches and compares them in three dimensions: the task domain, the automation degree, and the techniques used. The criteria of the first dimension explain why an IE system fails to handle some Web sites of particular structures. The criteria of the second dimension classify IE systems based on the techniques used. The criteria of the third dimension measure the degree of automation for IE systems. We believe these criteria provide qualitatively measures to evaluate various IE approaches. © 2006 IEEE.
Authors & Co-Authors
Chang, Chiahui
United States, New York
Ieee
Taiwan, Taoyuan
National Central University
Kayed, Mohammed
Egypt, Beni Suef
Beni-suef University
Girgis, Moheb Ramzy
United States, New York
Ieee
Egypt, Minya
Minia University
Shaalan, Khaled F.
United Arab Emirates, Dubai
British University in Dubai
Statistics
Citations: 910
Authors: 4
Affiliations: 5
Identifiers
Doi:
10.1109/TKDE.2006.152
ISSN:
10414347
Study Design
Cross Sectional Study
Study Approach
Quantitative
Systematic review