Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
3
click to vote
FOIS
2008
favorite
Email
discuss
report
96
views
Information Technology
»
more
FOIS 2008
»
KEMM: A Knowledge Engineering Methodology in the Medical Domain
13 years 5 months ago
Download
fois08.dfki.de
Pinar Wennerberg, Sonja Zillner, Manuel Mölle
Real-time Traffic
FOIS 2008
|
Information Technology
|
claim paper
Related Content
»
Knowledge Driven Architecture for Home Care
»
OntologyBased FunctionalKnowledge Modeling Methodology and Its Deployment
»
Web Mining Techniques for Automatic Discovery of Medical Knowledge
»
The Systems Engineering Process Activities SEPA Methodology and Tool Suite
»
A Toolkit and Methodology to Support the Collaborative Development and Reuse of Engineerin...
»
A Methodology and Framework for Creating DomainSpecific Development Infrastructures
»
Integrating Deep Biomedical Models into Medical Decision Support Systems An Interval Const...
»
Design and Evaluation of the iMed Intelligent Medical Search Engine
»
Domain Modeling Based on Engineering Standards
more »
Post Info
More Details (n/a)
Added
29 Oct 2010
Updated
29 Oct 2010
Type
Conference
Year
2008
Where
FOIS
Authors
Pinar Wennerberg, Sonja Zillner, Manuel Möller, Paul Buitelaar, Michael Sintek
Comments
(0)
Researcher Info
Information Technology Study Group
Computer Vision