A formal approach for using granularity in the subject domain of infectious diseases
نویسندگان
چکیده
The aim of the experiment is to put the domainand implementationindependent theory of granularity to the test with the subject domain of human infectious diseases. After determining the data sources, defining the model, and data manipulation operators, the granular perspectives and their levels were defined and contents added. Subsequently, granular information retrieval is tested for cholera and blood, both regarding querying and inferencing. Observations are that the limitations of data sources complicates applying a domain granularity framework, but developing a domain granularity framework is possible and does not violate the domainand implementation-independent theory of granularity. Reasoning over the applied domain granularity framework does enable targeted searches and inferencing for advanced knowledge management and information retrieval.
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