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PR-OWL: A Bayesian extension to the OWL Ontology Language. UnBBayes . Go to the UnBBayes website (external). A Bayesian Framework for Probabilistic Ontologies. PR-OWL is an open research work aimed to extend the OWL Go to the OWL Features Webpage (external website). A More Detailed Explanation. Uncertainty is ubiquitous. Any representation scheme intended to model real-world actions and processes must be able to cope with the effects of uncertain phenomena. A major shortcoming of existing Semantic Web.

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PR-OWL Home | pr-owl.org Reviews
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PR-OWL: A Bayesian extension to the OWL Ontology Language. UnBBayes . Go to the UnBBayes website (external). A Bayesian Framework for Probabilistic Ontologies. PR-OWL is an open research work aimed to extend the OWL Go to the OWL Features Webpage (external website). A More Detailed Explanation. Uncertainty is ubiquitous. Any representation scheme intended to model real-world actions and processes must be able to cope with the effects of uncertain phenomena. A major shortcoming of existing Semantic Web.
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KEYWORDS
1 Semantic Web
2 Uncertainty
3 OWL-P
4 PR-OWL
5 OWL
6 Probabilistic Ontologies
7 MEBN
8 ISWC2005 Workshop
9 plausible reasoning
10 web services
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PR-OWL Home | pr-owl.org Reviews

https://pr-owl.org

PR-OWL: A Bayesian extension to the OWL Ontology Language. UnBBayes . Go to the UnBBayes website (external). A Bayesian Framework for Probabilistic Ontologies. PR-OWL is an open research work aimed to extend the OWL Go to the OWL Features Webpage (external website). A More Detailed Explanation. Uncertainty is ubiquitous. Any representation scheme intended to model real-world actions and processes must be able to cope with the effects of uncertain phenomena. A major shortcoming of existing Semantic Web.

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pr-owl.org pr-owl.org
1

PR-OWL Semantics

http://www.pr-owl.org/basics/prowlsemantics.php

PR-OWL: A Bayesian extension to the OWL Ontology Language. UnBBayes . Go to the UnBBayes website (external). Sorry, we are still working on it. Please, be back soon! URSW 2005 First workshop on Uncertainty Reasoning for the Semantic Web - Galway - Ireland. URSW 2006 Second workshop on Uncertainty Reasoning for the Semantic Web - Athens, GA - USA. URSW 2007 Third workshop on Uncertainty Reasoning for the Semantic Web - Busan, Korea. UnB Website of the University of Brasilia.

2

PR-OWL Ontologies

http://www.pr-owl.org/basics/prowlonto.php

PR-OWL: A Bayesian extension to the OWL Ontology Language. UnBBayes . Go to the UnBBayes website (external). List of available ontologies. The Star Trek ontology. URSW 2005 First workshop on Uncertainty Reasoning for the Semantic Web - Galway - Ireland. URSW 2006 Second workshop on Uncertainty Reasoning for the Semantic Web - Athens, GA - USA. URSW 2007 Third workshop on Uncertainty Reasoning for the Semantic Web - Busan, Korea. UnB Website of the University of Brasilia.

3

Background Material

http://www.pr-owl.org/basics/background.php

Background Material related to PR-OWL. UnBBayes . Go to the UnBBayes website (external). What needs to be known? As a language for conveying probabilistic ontologies. The Core Objectives of PR-OWL. Although PR-OWL is focused in the Semantic Web. It tackles a problem that precedes even the current WWW: the quest for more efficient data exchange. Clearly, solving that problem requires more precise semantics. Indeed, in almost any domain represented in the SW there will exist a vast body of knowledge that w...

4

Probabilistic Ontologies

http://www.pr-owl.org/basics/po.php

PR-OWL: A Bayesian extension to the OWL Ontology Language. UnBBayes . Go to the UnBBayes website (external). Sorry, we are still working on it. Please, be back soon! URSW 2005 First workshop on Uncertainty Reasoning for the Semantic Web - Galway - Ireland. URSW 2006 Second workshop on Uncertainty Reasoning for the Semantic Web - Athens, GA - USA. URSW 2007 Third workshop on Uncertainty Reasoning for the Semantic Web - Busan, Korea. UnB Website of the University of Brasilia.

5

Bayesian Networks

http://www.pr-owl.org/basics/bn.php

UnBBayes . Go to the UnBBayes website (external). What is a BN? Bayesian networks provide a means of parsimoniously expressing joint probability distributions over many interrelated hypotheses. A Bayesian network consists of a directed acyclic graph (DAG). And a set of local distributions. Each node in the graph represents a random variable. Image recognition (Booker and Hota, 1986. Language understanding (Charniak and Goldman, 1989a. Search algorithms (Hansson and Mayer, 1989. Is independent of events.

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Paulo Costa

http://c4i.gmu.edu/~pcosta

Paulo Cesar G. Costa. George Mason University - Volgenau School of Engineering. Associate Professor - Department of Systems Engineering and Operations Research. Associate Director for International Collaboration - George Mason University's C4I&Cyber Center. Co-Director - Radar and Radio Engineering Lab. VP for Working Groups - ISIF Board of Directors. Institute of Electrical and Electronics Engineers ( IEEE. IEEE Aerospace and Electronic Systems ( IEEE-AESS. Senior Scientist - KaDSci, Inc. Paulo Cesar G&...

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Vinyl I’m Playing. Books I’m Reading. A blog about Open Source, my work at the Gates Foundation and those I am fortunate enough to collaborate with. You can scroll the shelf using ←. 8220;Most free software projects fail.” Read Karl Fogel for an antidote. August 5, 2011. 8220;Most free software projects fail.” Karl, you had me with that first sentence…I hope we at Gates can live up to your recommendations, avoid joining the junkpile, or at least get fired trying! August 5, 2011. August 4, 2011. The basic...

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PR-OWL Home

PR-OWL: A Bayesian extension to the OWL Ontology Language. UnBBayes . Go to the UnBBayes website (external). A Bayesian Framework for Probabilistic Ontologies. PR-OWL is an open research work aimed to extend the OWL Go to the OWL Features Webpage (external website). A More Detailed Explanation. Uncertainty is ubiquitous. Any representation scheme intended to model real-world actions and processes must be able to cope with the effects of uncertain phenomena. A major shortcoming of existing Semantic Web.

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Welcome to PR-OWL: A Bayesian Extension to the OWL Ontology Language. PR-OWL is an open research work aimed to extend the OWL. Ontology Web language so it can represent probabilistic ontologies. In other words, it is a probabilistic extension to OWL that provides a framework for authoring probabilistic ontologies and is based on the Bayesian first-order logic called Multi-Entity Bayesian Networks ( MEBN. As a language for conveying probabilistic ontologies.

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PR-OWL Home

PR-OWL: A Bayesian extension to the OWL Ontology Language. UnBBayes . Go to the UnBBayes website (external). A Bayesian Framework for Probabilistic Ontologies. PR-OWL is an open research work aimed to extend the OWL Go to the OWL Features Webpage (external website). A More Detailed Explanation. Uncertainty is ubiquitous. Any representation scheme intended to model real-world actions and processes must be able to cope with the effects of uncertain phenomena. A major shortcoming of existing Semantic Web.

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