Abstract
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 instances 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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Smyth, C., Poole, D.: Qualitative probabilistic matching with hierarchical descriptions. In: KR 2004, Whistler, BC, Canada (2004)
McGuinness, D.L., van Harmelen, F.: Owl web ontology language overview. In: W3C Recommendation, February 10, W3C (2004)
Koller, D., Levy, A., Pfeffer, A.: P-classic: A tractable probabilistic description logic. In: Proc. 14th National Conference on Artificial Intelligence, Providence, RI, pp. 390–397 (1997)
Spohn, W.: A general non-probabilistic theory of inductive reasoning. In: Proc. Fourth Workshop on Uncertainty in Artificial Intelligence, pp. 315–322 (1988)
Pearl, J.: Probabilistic semantics for nonmonotonic reasoning: A survey. In: Brachman, R.J., Levesque, H.J., Reiter, R. (eds.) Proc. First International Conf.s on Principles of Knowledge Representation and Reasoning, Toronto, pp. 505–516 (1989)
Darwiche, A., Goldszmidt, M.: On the relation between kappa calculus and probabilistic reasoning. In: Proc. Tenth Conf. on Uncertainty in Artificial Intelligence (UAI 1994), pp. 145–153 (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Poole, D., Smyth, C. (2005). Type Uncertainty in Ontologically-Grounded Qualitative Probabilistic Matching. In: Godo, L. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2005. Lecture Notes in Computer Science(), vol 3571. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11518655_64
Download citation
DOI: https://doi.org/10.1007/11518655_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27326-4
Online ISBN: 978-3-540-31888-0
eBook Packages: Computer ScienceComputer Science (R0)