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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Tao, C. (2006). Toward making online biological data machine understandable. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4273 LNCS, pp. 992–993). Springer Verlag. https://doi.org/10.1007/11926078_83
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