From text to RDF triple store: an application for biodiversity literature

Authors:
Hong Cui;Kenneth (Yang) Jiang;Partha Pratim Sanyal
Affiliations:
University of Arizona, Tucson AZ;University of Arizona, Tucson AZ;University of Arizona, Tucson AZ
Venue:
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Year:
2010

Citing 2
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Semantic annotation of biosystematics literature without training examples

Journal of the American Society for Information Science and Technology
Unsupervised extraction of text segments from heterogeneous document collections

Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47

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Abstract

In this system demonstration two software applications will be shown. One application turns plain text biodiversity literature (using Flora of North America as an example) into semantically annotated documents in XML. The second application turns the XML annotations to a RDF triple store and provides query capabilities to allow a user to search a volume of Flora of North America by biological characters and not simple keywords. For example, a user can find taxa that are a member of Asteraceae family with conservation concerns, grow along ditches in Arizona, and with pink flowers and toothed leaves.