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Extracting and Reasoning about Web Data

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Logic Programming (ICLP 2008)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5366))

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Abstract

The Web contains an enormous quantity of information, virtually supporting all types of reasoning and decision-making. Unfortunately, most of the times automated access to Web data and tracking updates turns out to be hard. Several technological, standardization and research efforts are now under way to make, among other things, Web data easily accessed and properly manipulated by machines. Indeed, for several years now, the W3C consortium has released useful recommendations on RDF(s)[1] and OWL[2], which are used to assign semantic to Web data. In particular, making existing Web data available to machine consumption can be a challenging task. Obviously, it is impossible to re-write the whole Web using advanced semantic Web languages; hence, various new technologies are currently being proposed for translating existing Web data, into RDF document, as GRDDL[3]. In this manner, it is now possible to transform plain-HTML Web pages into RDF documents, and then apply inferential engines to deduce new knowledge.

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References

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© 2008 Springer-Verlag Berlin Heidelberg

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Pirrotta, G. (2008). Extracting and Reasoning about Web Data. In: Garcia de la Banda, M., Pontelli, E. (eds) Logic Programming. ICLP 2008. Lecture Notes in Computer Science, vol 5366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89982-2_86

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  • DOI: https://doi.org/10.1007/978-3-540-89982-2_86

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89981-5

  • Online ISBN: 978-3-540-89982-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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