Solution mining for specific contextualised problems: towards an approach for experience mining

Sauer, Christian and Roth-Berghofer, Thomas (2012) Solution mining for specific contextualised problems: towards an approach for experience mining. In: Proceedings of the 21st international conference companion on World Wide Web, 16 Apr 2012, Lyon, France.

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In this paper we describe the task of automated mining for
solutions to highly specific problems. We do so under the
premise of mapping the split view on context, introduced
by Brezillon and Pomerol, onto three different levels of abstraction of a problem domain. This is done to integrate
the notion of activity or focus and its influence on the context into the mining for a solution. We assume the problem's context, based upon its very own focus of attention, describes key characteristics to be decisive criteria in the mining process to mine successful solutions for the problem. We further detail on the process of a chain of sub problems and their foci adding up to a meta problem solution and how this can used to mine for such solutions. Through a guiding example we introduce basic steps of the solution mining process and common aspects we deem interesting to be analysed closer in upcoming research on solution mining. We further examine the possible integration of these newly established outlines for automatic solution mining for highly specific problems into a currently developed architecture for the design of knowledge-based systems (KBS). We thereby were able to gain a�first insight on possible problems occurring
while trying to integrate automatic solution mining in
existing approaches to KBS and KBS design.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computing
Depositing User: Christian Sauer
Date Deposited: 26 May 2016 13:02
Last Modified: 04 Aug 2016 10:07

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