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Published in:
2006 | OriginalPaper | Chapter
Toward Making Online Biological Data Machine Understandable
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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.