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Statements

Subject Item
n2:7E11042
rdf:type
n5:Projekt
rdfs:seeAlso
http://www.isvav.cz/projectDetail.do?rowId=7E11042
dcterms:description
In KHRESMOI, we will build a multi-lingual multi-modal search and access system for biomedical information and documents. This will be achieved by: - Effective automated information extraction from biomedical documents, including improvement using crowd sourcing and active learning, and automated estimation of the level of trust and target user expertise - Automated analysis and indexing for medical images in 2D (X-Rays), 3D (MRI, CT), and 4D (fMRI) - Linking information extracted from unstructured or semi-structured biomedical texts and images to structured information in knowledge bases - Support of cross-language search, including multi-lingual queries, and returning machine-translated pertinent excerpts - Adaptive user interfaces to assist in formulating queries and display search results via ergonomic and interactive visualizations The research will flow into several open source components, which will be integrated into an innovative open architecture for robust and scalable biomedical information search. The system will be evaluated in use cases by three well-defined user groups. In KHRESMOI, we will build a multi-lingual multi-modal search and access system for biomedical information and documents. This will be achieved by: - Effective automated information extraction from biomedical documents, including improvement using crowd sourcing and active learning, and automated estimation of the level of trust and target user expertise - Automated analysis and indexing for medical images in 2D (X-Rays), 3D (MRI, CT), and 4D (fMRI) - Linking information extracted from unstructured or semi-structured biomedical texts and images to structured information in knowledge bases - Support of cross-language search, including multi-lingual queries, and returning machine-translated pertinent excerpts - Adaptive user interfaces to assist in formulating queries and display search results via ergonomic and interactive visualizations The research will flow into several open source components, which will be integrated into an innovative open architecture for robust and scalable biomedical information search. The system will be evaluated in use cases by three well-defined user groups.
dcterms:title
Knowledge Helper for Medical and Other Information users Knowledge Helper for Medical and Other Information users
skos:notation
7E11042
n3:aktivita
n18:7E
n3:celkovaStatniPodpora
n12:celkovaStatniPodpora
n3:celkoveNaklady
n12:celkoveNaklady
n3:datumDodatniDoRIV
2015-02-16+01:00
n3:druhSouteze
n19:RP
n3:duvernostUdaju
n6:S
n3:fazeProjektu
n15:100526195
n3:hlavniObor
n7:AI
n3:kategorie
n14:ZV
n3:klicovaSlova
Medical information retrieval, multilingual information access, multimedia and multimodal information management, large-scale 3D, 4D data sets
n3:partnetrHlavni
n10:orjk%3A11320
n3:pocetKoordinujicichPrijemcu
0
n3:pocetPrijemcu
1
n3:pocetSpoluPrijemcu
0
n3:pocetVysledkuRIV
8
n3:pocetZverejnenychVysledkuVRIV
8
n3:posledniUvolneniVMinulemRoce
2013-03-27+01:00
n3:prideleniPodpory
n20:MSMT-1839%2F2013-310
n3:sberDatUcastniciPoslednihoRoku
n17:2014
n3:sberDatUdajeProjZameru
n17:2014
n3:statusZobrazovaneFaze
n21:DRRVK
n3:typPojektu
n9:P
n3:ukonceniReseni
2014-08-31+02:00
n3:vedlejsiObor
n7:FP n7:IN
n3:zahajeniReseni
2011-01-01+01:00
n3:zivotniCyklusProjektu
n16:ZBBK
n3:vyzva
n8:FP7-ICT-2009-5
n3:klicoveSlovo
large-scale 3D Medical information retrieval multimedia and multimodal information management multilingual information access