Medical Imaging and Advanced Knowledge Technologies (MIAKT) is a framework for building support infrastructure for diagnosing patients with breast cancer. The paper provides a brief overview of this framework, along with the importance of building a support infrastructure for breast cancer studies.

The advent of semantic Web technology, Web services, and languages such as the unified medical language system (UMLS) has advanced the art of building support infrastructure for the decision-making process in medical research. This is discussed in the first half of the paper. The framework presented emphasizes the representation of abstract information for the purpose of knowledge management.

The second half of the paper is a discussion of the architecture of the MIAKT framework. The authors delineate the five principles that were applied to build the framework. These principles are based mainly on the criteria of flexibility, scalability, and usability of the framework. The architecture of the framework involves the use of Java technology, Web services, and ontology-based representation of information.

Overall, this is a well-written paper. First, the authors establish the need for building the framework; then, they provide the actual details of the framework. Good diagrammatic representations are used to describe the concepts. The paper would have been somewhat more interesting if the authors had included some of the screen shots of the applications built using the framework.