Abstract
Huge amounts of biological data are available online. To obtain needed information, biologists sometimes have to traverse different Web sources and combine their data manually. We introduce a system that can automatically interpret the structures of heterogeneous Web pages, extract useful information from them, and also transform them to machine-understandable pages for the Semantic Web, so that a Semantic Web agent can automatically find the information of interest.
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© 2006 Springer-Verlag Berlin Heidelberg
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Tao, C. (2006). Toward Making Online Biological Data Machine Understandable. In: Cruz, I., et al. The Semantic Web - ISWC 2006. ISWC 2006. Lecture Notes in Computer Science, vol 4273. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11926078_83
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DOI: https://doi.org/10.1007/11926078_83
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49029-6
Online ISBN: 978-3-540-49055-5
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