Using Linked Data for Better Navigation in Summaries of Product Characteristics

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10192045" target="_blank" >RIV/00216208:11320/13:10192045 - isvavai.cz</a>
Result on the web
<a href="http://ceur-ws.org/Vol-1114/Session2_Kozak.pdf" target="_blank" >http://ceur-ws.org/Vol-1114/Session2_Kozak.pdf</a>
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Using Linked Data for Better Navigation in Summaries of Product Characteristics
Original language 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.
Czech name
—
Czech description
—

Project
<a href="/en/project/GA13-08195S" target="_blank" >GA13-08195S: Highly Scalable Parallel and Distributed Methods of Data Processing in E-science</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 6th International Workshop on Semantic Web Applications and Tools for Life Sciences
ISBN
—
ISSN
1613-0073
e-ISSN
—
Number of pages
15
Pages from-to
—
Publisher name
CEUR-WS.org
Place of publication
Neuveden
Event location
Edinburgh, United Kingdom
Event date
Dec 9, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)