On the semantics of fuzzy logic
International Journal of Approximate Reasoning
The EGG/YOLK reliability hierarchy: semantic data integration using sorts with prototypes
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
Handling Analogical Proportions in Classical Logic and Fuzzy Logics Settings
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Ranking alternatives on the basis of generic constraints and examples: a possibilistic approach
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Reasoning about categories in conceptual spaces
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Belief extrapolation (or how to reason about observations and unpredicted change)
Artificial Intelligence
Solving conflicts in information merging by a flexible interpretation of atomic propositions
Artificial Intelligence
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
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In most knowledge representation settings, atomic properties correspond to natural language labels. Although these labels are usually taken to be primitive, automating some forms of commonsense inference requires background knowledge on the cognitive meaning of these labels. We consider two such forms of commonsense reasoning, which we refer to as interpolative and extrapolative reasoning. In both cases, rule-based knowledge is augmented with knowledge about the geometric representation of labels in a conceptual space. Specifically, to support interpolative reasoning, we need to know which labels are conceptually between which other labels, considering that intermediary conditions tend to lead to intermediary conclusions. Extrapolative reasoning is based on information about the direction of change that is needed when replacing one label by another, taking the view that parallel changes in the conditions of rules tend to lead to parallel changes in the conclusions. In this paper, we propose a practical method to acquire such knowledge about the conceptual spaces representation of labels. We illustrate the method in the domain of music genres, starting from meta-data that was obtained from the music recommendation website last.fm.