On the role of domain knowledge in analogy-based story generation

Authors:
Santiago Ontañón;Jichen Zhu
Affiliations:
Artificial Intelligence Research Institute, CSIC, Bellaterra, Spain;School of Visual Arts and Design, University of Central Florida, Orlando, FL
Venue:
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Year:
2011

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Abstract

Computational narrative is a complex and interesting domain for exploring AI techniques that algorithmically analyze, understand, and most importantly, generate stories. This paper studies the importance of domain knowledge in story generation, and particularly in analogy-based story generation (ASG). Based on the construct of knowledge container in case-based reasoning, we present a theoretical framework for incorporating domain knowledge in ASG. We complement the framework with empirical results in our existing system Riu.