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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F13%3A10192045%21RIV14-GA0-11320___
rdf:type
skos:Concept n18:Vysledek
rdfs:seeAlso
http://ceur-ws.org/Vol-1114/Session2_Kozak.pdf
dcterms:description
Summaries of product characteristics (SPCs) serve as a basic source of information for physicians about medicinal products. SPC is attached to every single registered medicinal product and contains large amount of valuable data in natural language. In this paper we deal with natural language processing (NLP), annotation and Linked Data representation of SPCs. Moreover, we also use the annotations for acquisition of new information about, e.g., interactions. A web application for browsing Linked Data representation of SPCs has been developed. Summaries of product characteristics (SPCs) serve as a basic source of information for physicians about medicinal products. SPC is attached to every single registered medicinal product and contains large amount of valuable data in natural language. In this paper we deal with natural language processing (NLP), annotation and Linked Data representation of SPCs. Moreover, we also use the annotations for acquisition of new information about, e.g., interactions. A web application for browsing Linked Data representation of SPCs has been developed.
dcterms:title
Using Linked Data for Better Navigation in Summaries of Product Characteristics Using Linked Data for Better Navigation in Summaries of Product Characteristics
skos:prefLabel
Using Linked Data for Better Navigation in Summaries of Product Characteristics Using Linked Data for Better Navigation in Summaries of Product Characteristics
skos:notation
RIV/00216208:11320/13:10192045!RIV14-GA0-11320___
n18:predkladatel
n19:orjk%3A11320
n3:aktivita
n15:S n15:P
n3:aktivity
P(GA13-08195S), S
n3:dodaniDat
n5:2014
n3:domaciTvurceVysledku
n14:1959220 n14:5822769 n14:3290999 n14:5412595
n3:druhVysledku
n11:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
113126
n3:idVysledku
RIV/00216208:11320/13:10192045
n3:jazykVysledku
n10:eng
n3:klicovaSlova
RDFa; NLP; SPC; e-health; Linked Data
n3:klicoveSlovo
n9:RDFa n9:NLP n9:SPC n9:e-health n9:Linked%20Data
n3:kontrolniKodProRIV
[D3216ADD27BA]
n3:mistoKonaniAkce
Edinburgh, United Kingdom
n3:mistoVydani
Neuveden
n3:nazevZdroje
Proceedings of the 6th International Workshop on Semantic Web Applications and Tools for Life Sciences
n3:obor
n13:IN
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
5
n3:projekt
n22:GA13-08195S
n3:rokUplatneniVysledku
n5:2013
n3:tvurceVysledku
Kozák, Jakub Pokorný, Jaroslav Dědek, Jan Nečaský, Martin Klímek, Jakub
n3:typAkce
n21:WRD
n3:zahajeniAkce
2013-12-09+01:00
s:issn
1613-0073
s:numberOfPages
15
n17:hasPublisher
CEUR-WS.org
n6:organizacniJednotka
11320