Toward making online biological data machine understandable

Authors:
Cui Tao
Affiliations:
Provo, Brigham Young University, Utah
Venue:
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Year:
2006

Citing 2
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Conceptual-model-based data extraction from multiple-record Web pages

Data & Knowledge Engineering
Automatic creation and simplified querying of semantic web content: an approach based on information-extraction ontologies

ASWC'06 Proceedings of the First Asian conference on The Semantic Web

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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.