OntoBayes: An Ontology-Driven Uncertainty Model

Authors:
Yi Yang;Jacques Calmet
Affiliations:
University of Karlsruhe (TH), Germany;University of Karlsruhe (TH), Germany
Venue:
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-1 (CIMCA-IAWTIC'06) - Volume 01
Year:
2005

Citing 0
Cited 21

Expressive probabilistic description logics

Artificial Intelligence
Fuzzy spatial relation ontology for image interpretation

Fuzzy Sets and Systems
Managing Uncertainty and Vagueness in Description Logics, Logic Programs and Description Logic Programs

Reasoning Web
Tractable Reasoning with Bayesian Description Logics

SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Managing uncertainty and vagueness in description logics for the Semantic Web

Web Semantics: Science, Services and Agents on the World Wide Web
An ontology for representing financial headline news

Web Semantics: Science, Services and Agents on the World Wide Web
Automatic ontology evolution in open and dynamic computing environments

ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part III
SemCaDo: a serendipitous strategy for learning causal Bayesian networks using ontologies

ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Probabilistic-logical web data integration

RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
Conjunctive query answering in probabilistic datalog+/- ontologies

RR'11 Proceedings of the 5th international conference on Web reasoning and rule systems
Answering threshold queries in probabilistic datalog+/-ontologies

SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
OntoBayes approach to corporate knowledge

ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
An ontology-based approach for constructing Bayesian networks

Data & Knowledge Engineering
An ontology-based context model in a smart home

ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part IV
Ontology learning from text: A look back and into the future

ACM Computing Surveys (CSUR)
An evidential fusion approach for activity recognition under uncertainty in ambient intelligence environments

Proceedings of the 2012 ACM Conference on Ubiquitous Computing
An Architecture for Managing Knowledge and System Dynamism in the Worldwide Sensor Web

International Journal on Semantic Web & Information Systems
Uncertainty modeling for ontology-based mammography annotation with intelligent BI-RADS scoring

Computers in Biology and Medicine
Statistical relational data integration for information extraction

RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
An evidential fusion approach for activity recognition in ambient intelligence environments

Robotics and Autonomous Systems
Query answering under probabilistic uncertainty in Datalog+ / - ontologies

Annals of Mathematics and Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes an ontology-driven model, which integrates Bayesian Networks (BN) into the Ontology Web Language (OWL) to preserve the advantages of both. This model makes use of probability and dependency-annotated OWL to represent uncertain information in BN structures. These extensions enhance knowledge representation in OWL and enable agents to act under uncertainty and complex structured open environments at the same time. This paper presents the underlying principles and scratches the surface of the decision theoretic agent system design based on "OntoBayes".