Data Extraction from Semantic Annotated Deep Web Sites


Automatic navigating and gathering information from Deep Web sites requires the use of Web Wrappers in order to simulate human interaction with Web sites. Web Wrappers have some drawbacks: their implementations are specific to the accessed site and also their source code needs a constant maintenance in order to support new changes on Web site. In this work we propose an annotation model for Deep Web sites that could be used for data extraction from the point of view of a Web client. Using these annotations will enable Web Wrappers to be more adaptable to Web site changes.

Extracted Key Phrases

3 Figures and Tables

Cite this paper

@inproceedings{Rojo2009DataEF, title={Data Extraction from Semantic Annotated Deep Web Sites}, author={Eduardo Rojo and Vicente Luque Centeno}, year={2009} }