Khresmoi - Multilingual Semantic Search of Medical Text and Images

  title={Khresmoi - Multilingual Semantic Search of Medical Text and Images},
  author={Niraj Aswani and Thomas Beckers and Erich Birngruber and C{\'e}lia Boyer and Andreas Burner and Jakub Bystron and Khalid Choukri and Sarah Cruchet and Hamish Cunningham and Jan Dedek and Ljiljana Dolamic and Rene Donner and Sebastian Dungs and Ivan Eggel and Antonio Foncubierta-Rodr{\'i}guez and Norbert Fuhr and Adam Funk and Alba Garcia Seco de Herrera and Arnaud Gaudinat and Georgi Georgiev and Julien Gobeill and Lorraine Goeuriot and Paz Gomez and R. Mark Greenwood and Manfred Gschwandtner and Allan Hanbury and Jan Hajic and Jaroslava Hlav{\'a}cov{\'a} and Markus Holzer and Gareth J. F. Jones and Blanca Jordan and Matthias Jordan and Klemens Kaderk and Franz Kainberger and Liadh Kelly and Sascha Kriewel and Marlene Kritz and Georg Langs and Nolan Lawson and Dimitrios Markonis and Iv{\'a}n Mart{\'i}nez and Vassil Momtchev and Alexandre Masselot and H{\'e}l{\`e}ne Mazo and Henning M{\"u}ller and Jo{\~a}o R. M. Palotti and Pavel Pecina and Konstantin Pentchev and Deyan Peychev and Natalia Pletneva and Diana Pottecher and Angus Roberts and Patrick Ruch and Alexander Sachs and Matthias Samwald and Priscille Schneller and Veronika Stefanov and Miguel Angel Tinte and Zdenka Uresov{\'a} and Alejandro Vargas and Dina Vishnyakova},
and Objective The Khresmoi project is developing a multilingual multimodal search and access system for medical and health information and documents. This scientific demonstration presents the current state of the Khresmoi integrated system, which includes components for text and image annotation, semantic search, search by image similarity and machine translation. The flexibility in adapting the system to varying requirements for different types of medical information search is demonstrated… CONTINUE READING