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Khresmoi Professional: Multilingual Semantic Search for Medical Professionals

Aswani, Niraj and Beckers, Thomas and Birngruber, Erich and Boyer, Célia and Burner, Andreas and Bystroň, Jakub and Choukri, Khalid and Cruchet, Sarah and Cunningham, Hamish and Dědek, Jan and Dolamic, Ljiljana and Donner, René and Dungs, Sebastian and Eggel, Ivan and Foncubierta-Rodríguez, Antonio and Fuhr, Norbert and Funk, Adam and Garcia Seco De Herrera, Alba and Gaudinat, Arnaud and Georgiev, Georgi and Gobeill, Julien and Goeuriot, Lorraine and Gomez, Paz and Greenwood, Mark and Gschwandtner, Manfred and Hanbury, Allan and Hajič, Jan and Hlaváčová, Jaroslava and Holzer, Markus and Jones, Gareth and Jordan, Blanca and Jordan, Matthias and Kaderk, Klemens and Kainberger, Franz and Kelly, Liadh and Kriewel, Sascha and Kritz, Marlene and Langs, Georg and Lawson, Nolan and Markonis, Dimitrios and Martinez, Iván and Momtchev, Vassil and Masselot, Alexandre and Mazo, Hélène and Müller, Henning and Palotti, Jo ao and Pecina, Pavel and Pentchev, Konstantin and Peychev, Deyan and Pletneva, Natalia and Pottecherc, Diana and Roberts, Angus and Ruch, Patrick and Sachs, Alexander and Samwald, Matthias and Schneller, Piscille and Stefanov, Veronika and Tinte, Miguel Angel and Ure v sová, Zdeňka and Vargas, Alejandro and Vishnyakova, Dina (2013) Khresmoi Professional: Multilingual Semantic Search for Medical Professionals. In: SIGIR 2013 Health Search and Discovery HSD workshop, 2013-08-01 - 2013-08-01, Dublin, Ireland.

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Abstract

There is increasing interest in and need for innovative solutions to medical search. In this paper we present the EU funded Khresmoi medical search and access system, currently in year 3 of 4 of development across 12 partners . The Khresmoi system uses a component based architecture housed in the cloud to allow for the development of several innovative applications to support target users medical information needs. The Khresmoi search systems based on this architecture have been designed to support the multilingual and multimod al information needs of three target groups the general public, general practitioners and consultant radiologists. In this paper we focus on the presentation of the systems to support the latter two groups using semantic, multilingual text and image based (including 2D and 3D radiology images) search.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: SIGIR workshop on Health Data Discovery - Notes: keywords: medical search system, multilingual, multimodal location: Dublin, Ireland
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 29 Jan 2020 21:12
Last Modified: 29 Jan 2020 22:15
URI: http://repository.essex.ac.uk/id/eprint/22236

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