Title: Clustering and classification of reference documents from large-scale literature searches: Support to the SAM explanatory note "New Techniques in Agricultural Biotechnology"
Authors: ANGERS ALEXANDREPETRILLO MAURO
Publisher: Publications Office of the European Union
Publication Year: 2017
JRC N°: JRC106191
ISBN: 978-92-79-69019-8
ISSN: 1831-9424
Other Identifiers: EUR 28618 EN
OP KJ-NA-28618-EN-N
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC106191
DOI: 10.2760/256470
Type: EUR - Scientific and Technical Research Reports
Abstract: Searches of the existing scientific literature are the cornerstone of scientific research and reporting. With the constant growth of the rate at which scientific studies and reviews are being published, the information produced by these searches can be delicate to manage. Narrowing the search increases the risk of overlooking important documents, while broadening it can produce too many documents to be reasonably processed. This report describes a set of strategies designed to process large sets of scientific references (such as those obtained by broad literature searches) and assist in the identification of documents relevant for specific purposes. These strategies take advantage of metadata associated to each document in SCOPUS, the database of peer-reviewed literature maintained by Elsevier and accessible through an Application Programming Interface (API). These strategies were developed and applied in support to the European Commission's Scientific Advice Mechanism (SAM) in managing the results of literature searches in the context of the exploratory note "New Techniques in Agricultural Biotechnology".
JRC Directorate:Health, Consumers and Reference Materials

Files in This Item:
File Description SizeFormat 
sam_report_final.pdf1.22 MBAdobe PDFView/Open


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.