Article
TEX: An efficient and effective unsupervised Web information extractor
Author/s | Sleiman, Hassan A.
Corchuelo Gil, Rafael |
Department | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Publication Date | 2013-02 |
Deposit Date | 2023-03-28 |
Published in |
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Abstract | The World Wide Web is an immense information resource. Web information extraction is the task that transforms human friendly Web information into structured information that can be consumed by auto mated business processes. ... The World Wide Web is an immense information resource. Web information extraction is the task that transforms human friendly Web information into structured information that can be consumed by auto mated business processes. In this article, we propose an unsupervised information extractor that works on two or more web documents generated by the same server side template. It finds and removes shared token sequences amongst these web documents until finding the relevant information that should be extracted from them. The technique is completely unsupervised and does not require maintenance, it allows working on malformed web documents, and does not require the relevant information to be for matted using repetitive patterns. Our complexity analysis reveals that our proposal is computationally tractable and our empirical study on real-world web documents demonstrates that it performs very fast and has a very high precision and recall. |
Funding agencies | Ministerio de Ciencia y Tecnología (MCYT). España Junta de Andalucía Ministerio de Ciencia e Innovación (MICIN). España Ministerio de Economía, Industria y Competitividad. España Ministerio de Economía y Competitividad (MINECO). España |
Project ID. | TIN2007-64119
P07-TIC-2602 P08-TIC-4100 TIN2008-04718-E TIN2010-21744 TIN2010-09809-E TIN2010-10811-E TIN2010-09988-E TIN2011-15497-E |
Citation | Sleiman, H.A. y Corchuelo Gil, R. (2013). TEX: An efficient and effective unsupervised Web information extractor. Knowledge-Based Systems, 39, 109-123. https://doi.org/10.1016/j.knosys.2012.10.009. |
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