DMCA
Knowledge-Intensive Case-Based Support for Automated Explanation of Biological Phenomena
BibTeX
@MISC{Aamodt_knowledge-intensivecase-based,
author = {Agnar Aamodt},
title = {Knowledge-Intensive Case-Based Support for Automated Explanation of Biological Phenomena},
year = {}
}
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Abstract
Abstract. The rapid growth of data stored in molecular biology-related databases has stimulated the development of integrative tools for retrieval and presentation of the data in the form of, e.g., biological association networks. We argue that a general and specific knowledge-based approach may provide substantial support for automated reconstruction of networks which otherwise tend to be large and, eventually, unreadable. This knowledge-based approach introduces a novel strategy with the potential to greatly enhance the explanatory power of automatically generated biological association networks. We discuss the motivation for a study of the process an expert employs while building a network, and suggest that a series of expert sessions be used as a case library for future reference. An example of a biological problem and the shape of its solution is described, and the types of knowledge involved are discussed. 1
Keyphrases
biological phenomenon automated explanation knowledge-intensive case-based support biological association network integrative tool explanatory power rapid growth substantial support case library biological problem specific knowledge-based approach automated reconstruction knowledge-based approach future reference expert session novel strategy molecular biology-related database
