Please use this identifier to cite or link to this item:
http://hdl.handle.net/11366/209
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Vestdam, Thomas | - |
dc.contributor.author | Rasmussen, Henrik Steen | - |
dc.contributor.author | Doornenbal, Marius | - |
dc.date.accessioned | 2014-05-04T18:23:10Z | - |
dc.date.available | 2014-05-04T18:23:10Z | - |
dc.date.issued | 2014-05-14 | - |
dc.identifier.citation | "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) | en_US |
dc.identifier.citation | Procedia Computer Science 33: 239-244 (2014) | - |
dc.identifier.other | 10.1016/j.procs.2014.06.038 | - |
dc.identifier.uri | http://hdl.handle.net/11366/209 | - |
dc.description | Delivered at the CRIS2014 Conference in Rome; published in Procedia Computer Science 33 (Jul 2014). | en_US |
dc.description | Contains conference paper (6 pages) and presentation (16 slides) | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | euroCRIS | en_US |
dc.relation.ispartofseries | CRIS2014: 12th International Conference on Current Research Information Systems (Rome, May 13-15, 2014) | - |
dc.subject | current research information systems | en_US |
dc.subject | term extraction | en_US |
dc.subject | auto-classification | en_US |
dc.subject | fingerprinting | en_US |
dc.subject | keywords | en_US |
dc.subject | CERIF | en_US |
dc.title | Black Magic Meta Data - get a glimpse behind the scene | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/j.procs.2014.06.038 | - |
dc.relation.conference | CRIS2014 Conference | en |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.openairetype | Conference Paper | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
crisitem.author.orcid | 0000-0002-1336-7368 | - |
crisitem.author.orcid | 0000-0001-9979-7627 | - |
crisitem.author.orcid | 0000-0001-6319-850X | - |
Appears in Collections: | Conference |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9_Vestdam_CRIS2014_Rome.pdf | post-print version | 539.63 kB | Adobe PDF | View/Open |
WT1_vestdam_et_al_CRIS2014.pdf | presentation | 1.22 MB | Adobe PDF | View/Open |
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