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Ponencia
On Mining DOM Trees to build Information Extractors
(2011)
The Web is the largest information repository. The information it contains is usually available in human-friendly formats. Companies are interested in using this information. The problem is that they need it in structured ...
Artículo
Trinity: On Using Trinary Trees for Unsupervised Web Data Extraction
(IEEE Xplore, 2014-06)
Web data extractors are used to extract data from web documents in order to feed automated processes. In this article, we propose a technique that works on two or more web documents generated by the same server-side template ...
Artículo
TEX: An efficient and effective unsupervised Web information extractor
(ScienceDirect, 2013-02)
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. ...
Ponencia
Towards a Method for Unsupervised Web Information Extraction
(Springer, 2012-07)
The literature provides a variety of techniques to build the information extractors on which some data integration systems rely. In formation extraction techniques are usually based on extraction rules that require maintenance ...