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Evaluation of header metadata extraction approaches and tools for scientific PDF documents

Evaluation of header metadata extraction approaches and tools for scientific PDF documents

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LIPINSKI, Mario, Kevin YAO, Corinna BREITINGER, Joeran BEEL, Bela GIPP, 2013. Evaluation of header metadata extraction approaches and tools for scientific PDF documents. JCDL '13. Indianapolis, 22. Jul 2013 - 26. Jul 2013. In: J. STEPHEN DOWNIE, , ed.. Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries. JCDL '13. Indianapolis, 22. Jul 2013 - 26. Jul 2013. New York:ACM, pp. 385-386. ISBN 978-1-4503-2077-1

@inproceedings{Lipinski2013Evalu-30950, title={Evaluation of header metadata extraction approaches and tools for scientific PDF documents}, year={2013}, doi={10.1145/2467696.2467753}, isbn={978-1-4503-2077-1}, address={New York}, publisher={ACM}, booktitle={Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries}, pages={385--386}, editor={J. Stephen Downie}, author={Lipinski, Mario and Yao, Kevin and Breitinger, Corinna and Beel, Joeran and Gipp, Bela} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/30950"> <dc:contributor>Yao, Kevin</dc:contributor> <dc:language>eng</dc:language> <dcterms:issued>2013</dcterms:issued> <dcterms:abstract xml:lang="eng">This paper evaluates the performance of tools for the extraction of metadata from scientific articles. Accurate metadata extraction is an important task for automating the management of digital libraries. This comparative study is a guide for developers looking to integrate the most suitable and effective metadata extraction tool into their software. We shed light on the strengths and weaknesses of seven tools in common use. In our evaluation using papers from the arXiv collection, GROBID delivered the best results, followed by Mendeley Desktop. SciPlore Xtract, PDFMeat, and SVMHeaderParse also delivered good results depending on the metadata type to be extracted.</dcterms:abstract> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-05-13T09:26:12Z</dcterms:available> <dc:creator>Lipinski, Mario</dc:creator> <dc:contributor>Beel, Joeran</dc:contributor> <dcterms:title>Evaluation of header metadata extraction approaches and tools for scientific PDF documents</dcterms:title> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-05-13T09:26:12Z</dc:date> <dc:contributor>Breitinger, Corinna</dc:contributor> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/30950"/> <dc:contributor>Lipinski, Mario</dc:contributor> <dcterms:rights rdf:resource="http://nbn-resolving.de/urn:nbn:de:bsz:352-20150305140228786-3747162-5"/> <dc:creator>Breitinger, Corinna</dc:creator> <dc:creator>Gipp, Bela</dc:creator> <dc:creator>Yao, Kevin</dc:creator> <dc:contributor>Gipp, Bela</dc:contributor> <dc:creator>Beel, Joeran</dc:creator> </rdf:Description> </rdf:RDF>

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