Type Uncertainty in Ontologically-Grounded Qualitative Probabilistic Matching

This paper is part of a project to match real-world descriptions of instances of objects to models of objects. We use a rich ontology to describe s and models at multiple levels of detail and multiple levels of abstraction. The models are described using qualitative probabilities. This paper is about the problem of type uncertainty; what if we have a qualitative distribution over the types. For example allowing a model to specify that a meeting is always scheduled in a building, usually in a civic building, and never a shopping mall can help an agent find a meeting even if it is unsure about the address.

• Type: Conference
• Year: 2005
• Where: ECSQARU
• Authors: David Poole, Clinton Smyth
• Keywords: ECSQARU 2005, Multiple Levels, Real-world Descriptions, Rich Ontology