Knowledge Sharing Across Biological and Medical Knowledge-Based Systems
Papers from the AAAI Workshop
Gary Merrill and Dhiraj Pathak, Cochairs
The amount of biological and medical information is growing at an exponential rate and overwhelming researchers and clinicians. Various groups have applied the technology of knowledge based systems to help in the effective utilization of available information. These systems have been used for applications in information retrieval, natural language processing, database integration, machine learning, data mining, and decision-making.
While there is a substantial overlap of knowledge represented in these knowledge based systems there has been very limited dialog among the various groups creating these systems. This one-day workshop explored ways in which the knowledge contained in the various systems can be shared. Specifically, the workshop goals included understanding the scope of knowledge contained in various knowledge based systems in biology and medicine; understanding strengths and limitations of different knowledge representation formalisms, inference engines, and knowledge acquisition methods for biological and medical knowledge based systems; and identifying strategies for knowledge sharing across different development groups as we move toward more comprehensive knowledge bases for researchers and clinicians in biology and medicine.