The accurate capture and representation of medical knowledge in a form that enables reasoning has 
now assumed a central role in the medical informatics field; subsequent maintenance of the resulting
medical knowledge bases is also an important issue. Computerized medical decision support systems 
are becoming increasingly knowledge intensive and more recently, medical datasets are starting to 
be linked with domain knowledge and made available on the Web of Linked Data. 

The focus of this workshop is the capture and subsequent refinement of medical expertise for use in
high performance knowledge-based systems. Various methodologies, tools, and technologies exist for 
capturing and representing knowledge. Increasingly, sophisticated rule bases and ontologies are 
being developed for use in medical domains. Additionally, recent advances in the technology used 
to treat and monitor patients allows vast amounts of domain data to be collected, providing 
opportunities for sophisticated knowledge-intensive data analysis.

However, capturing and maintaining knowledge in the medical domain is not a trivial task; medical 
knowledge is often poorly understood, constantly evolving, and at times difficult for experts to 
articulate. There are still considerable challenges faced by researchers in extracting accurate 
and consistent domain knowledge from clinicians and in providing approaches that can refine 
knowledge in a field in which there is an exponential increase in knowledge. 

The objective of this workshop is to serve as a forum for sharing the most recent activities and 
experience in this area, disseminating the current best practices and discussing future directions.
In addition, it is hoped that the workshop will foster future collaboration between attendees. 
This work is highly interdisciplinary and the workshop welcomes submissions from persons working 
in the following research areas:

Development of tools and techniques for the capture and refinement of medical knowledge. 
Detecting and removing inconsistencies in medical knowledge bases. Maintenance of medical databases/repositories. 
Development and maintenance of medical ontologies & terminologies. 
Extraction of domain knowledge from datasets. 
Studies of medical cognition/expertise. 
Lessons learned from case studies. 
Provenance and trust of medical data. 
Usage of linked data in a medical context 
Collaborative & social approaches to medical knowledge capture and refinement. 
Medical knowledge authoring tool

Submission Details


Papers should be formatted according to Springer Verlag LNCS guidelines and submitted via EasyChair
at the following address: https://www.easychair.org/conferences/?conf=kmed2012


We encourage both long (10 pages) and short papers (5 pages).


Important Dates

Submission Deadline: 1st August 2012 (Hawaii time, UTC – 10.00)

Notification of acceptance: 22nd August 2012

Workshop Date: 8th -12th October 2012 – Exact date for workshops is yet to be confirmed

Registration


In order to register for K-MED 2012, participants should register for EKAW 2012. Details can be 
found at: http://ekaw2012.ekaw.org/Registration.html

Workshop Co-Chairs


Dr. Laura Moss, University of Glasgow

Prof. Derek Sleeman, University of Aberdeen


Program Committee 


Laura Moss, University of Glasgow, UK

Derek Sleeman, University of Aberdeen, UK 

Ronan Fox, Digital Enterprise Research Institute (DERI), National University of Ireland 

Paul Compton, University of New South Wales, Australia

Joachim Baumeister, University of Würzburg, Germany

Vit Novacek, Digital Enterprise Research Institute (DERI), National University of Ireland 

Alun Preece, Cardiff University, UK

David Corsar, University of Aberdeen, UK

Victoria Uren, Aston University, UK


Contact


Laura.Moss@glasgow.ac.uk

d.sleeman@abdn.ac.uk