HTML Pattern Generator--Automatic Data Extraction from Web Pages

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Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06)

Timisoara, Romania

September 26-September 29

ISBN: 0-7695-2740-X

	ASCII Text	x
	Mirel Cosulschi, Adrian Giurca, Bogdan Udrescu, Nicolae Constantinescu, Mihai Gabroveanu, "HTML Pattern Generator--Automatic Data Extraction from Web Pages," Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on, pp. 75-78, Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06), 2006.

	BibTex	x
	@article{ 10.1109/SYNASC.2006.43, author = {Mirel Cosulschi and Adrian Giurca and Bogdan Udrescu and Nicolae Constantinescu and Mihai Gabroveanu}, title = {HTML Pattern Generator--Automatic Data Extraction from Web Pages}, journal ={Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on}, volume = {0}, year = {2006}, isbn = {0-7695-2740-X}, pages = {75-78}, doi = {http://doi.ieeecomputersociety.org/10.1109/SYNASC.2006.43}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on TI - HTML Pattern Generator--Automatic Data Extraction from Web Pages SN - 0-7695-2740-X SP75 EP78 A1 - Mirel Cosulschi, A1 - Adrian Giurca, A1 - Bogdan Udrescu, A1 - Nicolae Constantinescu, A1 - Mihai Gabroveanu, PY - 2006 KW - null VL - 0 JA - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on ER -

Mirel Cosulschi, University of Craiova, Romania

Adrian Giurca, Brandenburg Technical University Cottbus, Germany

Bogdan Udrescu, University of Craiova, Romania

Nicolae Constantinescu, University of Craiova, Romania

Mihai Gabroveanu, University of Craiova, Romania

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SYNASC.2006.43

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.

Citation:

Mirel Cosulschi, Adrian Giurca, Bogdan Udrescu, Nicolae Constantinescu, Mihai Gabroveanu, "HTML Pattern Generator--Automatic Data Extraction from Web Pages," synasc, pp.75-78, Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06), 2006

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