Abstract
In this work, we introduce a new method for information extraction from the semantic web. The fundamental idea is to model the semantic information contained in the microformats of a set of web pages, by using a data structure called semantic network. Then, we introduce a novel technique for information extraction from semantic networks. In particular, the technique allows us to extract a portion—a slice—of the semantic network with respect to some criterion of interest. The slice obtained represents relevant information retrieved from the semantic network and thus from the semantic web. Our approach can be used to design novel tools for information retrieval and presentation, and for information filtering that was distributed along the semantic web.
This work has been partially supported by the Spanish Ministerio de Ciencia e Innovación under grant TIN2008-06622-C03-02, by the Generalitat Valenciana under grant ACOMP/2009/017, by the Universidad Politécnica de Valencia (Programs PAID-05-08 and PAID-06-08) and by the Mexican Dirección General de Educación Superior Tecnológica (Programs CICT 2008 and CICT 2009).
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Ramos, J.G., Silva, J., Arroyo, G., Solorio, J.C. (2010). A Technique for Information Retrieval from Microformatted Websites. In: Pnueli, A., Virbitskaite, I., Voronkov, A. (eds) Perspectives of Systems Informatics. PSI 2009. Lecture Notes in Computer Science, vol 5947. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11486-1_29
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DOI: https://doi.org/10.1007/978-3-642-11486-1_29
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