K-MED 2012 - International Workshop on Capturing and Refining Knowledge in the Medical Domain

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 the future directions that the field should take. In addition, it is hoped that the workshop will foster future collaboration between attendees.
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 tools.