Knowledge Acquisition for Case-Based Reasoning Systems

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Kerstin Bach

Published: 01 Jan 2013, Last Modified: 30 Sept 2024undefined 2013EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: In this thesis a novel approach for developing distributed knowledge-based systems is presented: The SEASALT (Sharing Experience using an Agent-based System Architecture LayouT) architecture as a modularized, domain-independent architecture that features the extraction of experiences from Web 2.0 sources in order to formalize and apply them in Case-Based Reasoning (CBR) systems. The target CBR systems cover an individual topic (like experts their expertise) and are called to collaborate in order to solve complex, but modularizable problems.