A lightweight approach to semantic annotation of research papers

Authors:
Nicola Zeni;Nadzeya Kiyavitskaya;Luisa Mich;John Mylopoulos;James R. Cordy
Affiliations:
Dept. of Information and Communication Technology, University of Trento, Italy;Dept. of Information and Communication Technology, University of Trento, Italy;Dept. of Computer and Management Sciences, University of Trento, Italy;Dept. of Information and Communication Technology, University of Trento, Italy;School of Computing, Queens University, Kingston, Canada
Venue:
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
Year:
2007

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Abstract

This paper presents a novel application of a semantic annotation system, named Cerno, to analyze research publications in electronic format. Specifically, we address the problem of providing automatic support for authors who need to deal with large volumes of research documents. To this end, we have developed Biblio, a user-friendly tool based on Cerno. The tool directs the user's attention to the most important elements of the papers and provides assistance by generating automatically a list of references and an annotated bibliography given a collection of published research articles. The tool performance has been evaluated on a set of papers and preliminary evaluation results are promising. The backend of Biblio uses a standard relational database to store the results.