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Eurogene is an e-learning system in the domain of genetics that provides free multimedia learning resources in nine languages for statistical, medical and molecular genetics and delivers them to students and professionals. The Eurogene content includes presentations, reviewed research articles, images, videos and learning packages submitted by world-leading geneticists. An essential part of the Eurogene system is a multilingual search engine that allows to search for content in one language while retrieving the results in other languages. This is complemented by the use of a machine translation system fine-tuned for genetic terminology. The search engine uses a query language similar to PubMed. Eurogene also aims at providing intelligent ways of navigation through the e-Learning system. As new learning resources are being continuously submitted to the system, it is not possible to maintain links between them manually. Eurogene automatically links resources that are semantically similar using natural language processing.
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Giovanni RomeoPresident of the European Genetics Foundation
Ronzano, 31 March 2010
EUROGENE The First Pan-European Learning Service
Dedicated to Genetics
Goal
• Establish a European reference portal for Human Genetics. This will provide a more efficient means of development of higher quality multimedia didactic material on Human Genetics through guided editing and assembly of educational packages and the sharing of different types of learning objects in different languages.
UserProvider
Features
• Access, sharing and reuse of quality apporved MULTIMEDIA educational content.
• Searchable educational content in 9 European languages.• Access to machine translated versions of learning
materials.• Translation tools tailored to the Human Genetics domain.• Courses lectures and presentations available on line,
ready to be organized in learning packages• State-of-the-art semantic web technology and knowledge
management• A Community of European educators in Human Genetics
Consortium
• Initiator: European Genetics Foundation – EGF Giovanni Romeo 17 content partners
4 technical partners
EGF Multimedia Content
ESGM (European School of Genetic Medicine) Courses
All presentations and videos from 2003 to 2010.
Annotated and organized in learning packages which reflect the original course schedule.
Educational Levels
• based on Bologna process http://www.ond.vlaanderen.be/hogeronderwijs/bologna/actionlines/QF_three_cycle_system.htm
• 6 qualification levels:– 2 pre-university levels (GCSE, A-level)– 3 university levels (B.S., M.S., Ph.D.)– expert level (scientist, teacher)
Multilingual Content Search
Content Composition
Content Organization
• Content organized through covered topics• Topics structured in a tree hierarchy
(developed by domain experts)• Hierarchy visualisation, exploration of content
Example: part of a statistical genetics hierarchy
Cross-language retrieval
• Shared multilingual terminology (ontology) of genetics
• Concepts organized according to their meaning
Linkage analysis
Kopplungsanalyse Analyse de liasion Análisis de ligamiento
altLabel:ge altLabel:fr altLabel:es
Linkage-Analyse
altLabel:ge
Parametric linkage analysis
Non-parametric linkage analysis
isa isaMarker analysis
RT
Cross-language retrieval
• Standard search in 9 European languages including English, German, French, Spanish, Italian, Dutch, Greek, Czech, Lithuanian
• Query by example: cross-language identification of semantically similar educational material
?
My content = query
Francoise’s “Analyse de liaison génétiquepour les maladies multifactorielles” in French
Catherine’s “Introduction à la génétiqueépidémiologique” in French
Dawn’s “Linkage Analysis” in English
Heike’s “Die Kopplungsanalyse” in German
?
?
1. 3.2.
Content submission
• Content allowedmany formats, different languages
• Keywords extracted automatically
Storage;text extraction, automatic annotation, classification
Students,Lecturers,Scientists
Uploadresources
Lecturer
2. 3.1.
Content submission
• Content can be uploaded in many formats and different languages
• Keywords extracted automatically
Storage;text extraction, automatic annotation, classification
Students, Lecturers,Scientists
Uploadresources
Lecturer
3.2.1.
Content submission
• Content can be uploaded in many formats and different languages
• Keywords extracted automatically
Storage;text extraction, automatic annotation, classification
Students,Lecturers,Scientists
Uploadresources
Lecturer
Machine Translation
• 9 languages• goal
– NOT: 100% correct– BUT: helpful to the user (as all machine translations)
some materials verified– HERE: translation IS ~100% correct for genetic terminology
(verified by domain experts)
Spanish lecture English lecture
Students, Lecturers,Scientists
Lecturer
www.eurogene.eu
You can now register for free directly online.
