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1. A query is parsed and represented in an internal language, and the objects within the query are mapped onto the conceptual
 

Summary: 1. A query is parsed and represented in an internal language, and
the objects within the query are mapped onto the conceptual
structures of the background knowledge, and matched to past
cases;
2. The knowledge is modelled as a semantic network, where
concepts are linked by relationships to other concepts and
relationships;
3. The data necessary in an iteration is retrieved from a particular
database via a dedicated interface (a centralized datawarehouse-
based solution is also considered), matched using various tools,
andmappedontothe knowledgestructures;
4. The elements of an explanation path are evaluated with respect
to an explanatory strength measure, selected and chained, and
anexplanation isproduced.
An implementation of the system will be based on the architecture
of Creek [1], a system for knowledge intensive reasoning and
sustainedlearning.
An automated system that will assist a biologist in explaining
actual and hypothetical relationships between sets of genes using
backgroundknowledgeandvarioustypes andsourcesofdata

  

Source: Aamodt, Agnar - Department of Computer and Information Science, Norwegian University of Science and Technology

 

Collections: Computer Technologies and Information Sciences