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Title: Black Magic Meta Data - get a glimpse behind the scene
Authors: Vestdam, Thomas 
Rasmussen, Henrik Steen 
Doornenbal, Marius 
Keywords: current research information systems
term extraction
Issue Date: 14-May-2014
Publisher: euroCRIS
Source: "Managing Data-Intensive Science: the Role of Research Information Systems in Realising the Digital Agenda": Proceedings of the 12th International Conference on Current Research Information Systems (2014)
Procedia Computer Science 33: 239-244 (2014)
Series/Report no.: CRIS2014: 12th International Conference on Current Research Information Systems (Rome, May 13-15, 2014)
Conference: CRIS2014 Conference 
Abstract: This paper presents how we utilise natural language processing techniques in order to “automagically” classify information stored in a CRIS, and aggregate the information in a researchers portfolio into a “fingerprint” describing a researchers' research interest. Our approach exploits the fact that entities in a CRIS typically include some kind of text – most notable example being publication abstracts. We explain how the approach can result in automatic detailed classification of information, and argue how we can take advantage of such information in order to facilitate networking. Finally, we describe how we have realised the solution within our CRIS system.
Description: Delivered at the CRIS2014 Conference in Rome; published in Procedia Computer Science 33 (Jul 2014).
Contains conference paper (6 pages) and presentation (16 slides)
Appears in Collections:Conference

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WT1_vestdam_et_al_CRIS2014.pdfpresentation1.22 MBAdobe PDFView/Open
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