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2014 | OriginalPaper | Chapter

Extraction and Characterization of Citations in Scientific Papers

Authors : Marc Bertin, Iana Atanassova

Published in: Semantic Web Evaluation Challenge

Publisher: Springer International Publishing

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Abstract

We propose a hybrid method for the extraction and characterization of citations in scientific papers using machine learning combined with rule-based approaches. Our protocol consists of the extraction of metadata, bibliography parsing, section titles processing, and find-grained semantic annotation on the sentence level of texts. This allows us to generate Linked Open Data from a set of research papers in XML.

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Footnotes
2
The D2RQ Platform is a system for accessing relational databases as RDF graphs: http://​d2rq.​org/​
 
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Metadata
Title
Extraction and Characterization of Citations in Scientific Papers
Authors
Marc Bertin
Iana Atanassova
Copyright Year
2014
DOI
https://doi.org/10.1007/978-3-319-12024-9_16