Collaborative curation of data from bio-medical texts and abstracts and its integration

Authors:
Chitta Baral;Hasan Davulcu;Mutsumi Nakamura;Prabhdeep Singh;Luis Tari;Lian Yu
Affiliations:
Department of Computer Science and Engineering, Arizona State University, Tempe, AZ;Department of Computer Science and Engineering, Arizona State University, Tempe, AZ;Department of Computer Science and Engineering, Arizona State University, Tempe, AZ;Department of Computer Science and Engineering, Arizona State University, Tempe, AZ;Department of Computer Science and Engineering, Arizona State University, Tempe, AZ;Department of Computer Science and Engineering, Arizona State University, Tempe, AZ
Venue:
DILS'05 Proceedings of the Second international conference on Data Integration in the Life Sciences
Year:
2005

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Abstract

We propose an inexpensive and scalable approach for curation that takes advantage of automatic information extraction methods as a starting point, and is based on the premise that if there are a lot of articles, then there must be a lot of readers and authors of these articles. Thus we provide a mechanism by which the readers of the articles can participate and collaborate in the curation of information.