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Title:      EXPERIENCES REGARDING AUTOMATIC DATA EXTRACTION FROM WEB PAGES
Author(s):      Mirel Coşulschi , Bogdan Udrescu , Nicolae Constantinescu , Mihai Gabroveanu , Adrian Giurcă
ISBN:      972-8924-19-4
Editors:      Pedro Isaías, Miguel Baptista Nunes and Inmaculada J. Martínez
Year:      2006
Edition:      V I, 2
Keywords:      data extraction, wrapper, clustering
Type:      Full Paper
First Page:      281
Last Page:      288
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      Existing methods of information extraction from HTML documents include manual approach, supervised learning and automatic techniques. The manual method has high precision and recall values but it is difficult to apply it for large number of pages. Supervised learning involves human interaction to create positive and negative samples. Automatic techniques benefit from less human effort but they are not highly reliable regarding the information retrieved. Our experiments align in the area of this last type of methods for this purpose developing a tool for automatic data extraction from HTML pages.
   

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