ISSN:
1468-0394
Source:
Blackwell Publishing Journal Backfiles 1879-2005
Topics:
Computer Science
Notes:
Abstract: In new scientific domains, the interpretation of incomplete experimental data sets can be aided by effective modelling tools to assist scientists in understanding both the data and the interpretation process. A knowledge-based system is presented which was developed to assist with both of these tasks in the domain of protein biochemistry. The system uses a blackboard framework to interpret incomplete experimental data to build a descriptive model of the structural components of a protein. The evolution of the system from a procedural representation of knowledge to a declarative form is discussed for its role in increasing both the system's effectiveness at performing data analysis, and its flexibility in modelling the reasoning processes. Results of the system's performance, which compare favorably with reports of protein structures found in the literature, are presented, along with a discussion of the suitability of the blackboard framework and directions for future work.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1111/j.1468-0394.1989.tb00358.x
