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RETRACTED ARTICLE: Uncertainty modeling based on Bayesian network in ontology mapping

  • Semantic Web and Intelligent Web
  • Published:
Wuhan University Journal of Natural Sciences

Abstract

How to deal with uncertainty is crucial in exact concept mapping between ontologies. This paper presents a new framework on modeling uncertainty in ontologies based on bayesian networks (BN). In our approach, ontology Web language (OWL) is extended to add probabilistic markups for attaching probability information, the source and target ontologies (expressed by patulous OWL) are translated into bayesian networks (BNs), the mapping between the two ontologies can be digged out by constructing the conditional probability tables (CPTs) of the BN using a improved algorithm named I-IPFP based on iterative proportional fitting procedure (IPFP). The basic idea of this framework and algorithm are validated by positive results from computer experiments.

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References

  1. Noy N. Semantic Integration: A Survey of Ontology-Based Approaches [J].SIGMOD Record, 2004,33(4): 65–70.

    Article  Google Scholar 

  2. Ding Z, Peng Y. A Probabilistic Extension to OWL [C]//Proceedings of the 37th Hawaii International Conference on System Sciences. Big Island, Hawaii, USA, Jan. 2004.

  3. Pan R. A Framework for Bayesian Network Mapping [C]//Proceedings of 2005 American Association for Artificial Intelligence. Pittsburgh, Pennsylvania, USA, April 2005.

  4. Holi M, Hyvönen E. Probability Measures with Given Marginals and Conditionals: I-Projections and Conditional Iterative Proportional Fitting [J].Statistics and Decisions, 2000,18(2): 311–329.

    MathSciNet  Google Scholar 

  5. Csiszar I. I-Divergence Geometry of Probability Distributions and Minimization Problems[J].The Annuals of Probability, 1975,3(1): 146–158.

    Article  MATH  MathSciNet  Google Scholar 

  6. Koller D, Levy A. P-CLASSIC: A Tractable Probabilistic Description Logic [C]//Proceedings of 1997 American Association for Artifical Intelligence. Providence, Rhode Island, USA, Aug. 1997.

  7. Lacher M, Groh G. Facilitating the Exchange of Explicit Knowledge through Ontology Mappings [C]//Proceedings of the 14th International Florida Artificial Intelligence Research Society Conference. Melbourne Beach, Florida, USA, May 2001.

  8. Mitra P, Noy N. OMEN: A Probabilistic Ontology Mapping Tool [C]//Workshop on Meaning Coordination and Negotiation at the Third International Conference on the Semantic Web. Hisroshima, Japan, Oct. 2003.

  9. Holi M, Hyvönen E. Probabilistic Information Retrieval Based on Conceptual Overlap in Semantic Web Ontologies [C]//Proceedings of the 11th Finnish Artificial Intelligence Conference. Vantaa, Finland, Sept. 2004.

  10. Prasad S, Peng Y, Finin T. A Tool for Mapping between Two Ontologies Using Explicit Information [C]//Autonomous Agents and Multi-Agent Systems 2002 Workshop on Ontologies and Agent Systems. Bologna, Italy, July 2002.

  11. Melnik S, Garcia-Molina H, Rahm E. Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching [C]//18th International Conference on Data Engineering. San Jose, USA, April 2005.

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Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, Hubei, China

    Li Yuhua, Liu Tao & Sun Xiaolin

Authors
  1. Li Yuhua
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  2. Liu Tao
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  3. Sun Xiaolin
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Corresponding author

Correspondence to Li Yuhua.

Additional information

Foundation item: Supported by the National Natural Science Foundation of China (60403027)

Biography: LI Yuhua(1968-), female, Associate professor, research direction: semantic Web, data mining.

The manuscript “Uncertainty Modeling Based on Bayesian Network in Ontology Mapping” written by Li Yuhua et al. published in Wuhan University Journal of Natural Sciences, Vol. 11, No. 5 (2006) has to be retracted as a thorough investigation has revealed that it contains many contents same to the following three articles (or theses)

[1] Zhongli Ding et al. A Bayesian Approach to Uncertainty Modeling in OWL Ontology in Proceedings of the International Conference on Advances in Intelligent Systems― Theory and Applications, November 2004, Luxembourg.

[2] Yun Peng, Zhongli Ding et al. Modifying Bayesian Networks by Probability Constraints in Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI-2005), Edinburgh, Scotland, July 26-29, 2005.

[3] Zhongli Ding. BayesOWL: A Probabilistic Framework for Uncertainty in Semantic Web Ph.D. Thesis of University of Maryland, 2005.

The article should therefore be considered as non-existent and not be cited or referred to in the future. Li Yuhua et al apologize to the scientific community.

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Yuhua, L., Tao, L. & Xiaolin, S. RETRACTED ARTICLE: Uncertainty modeling based on Bayesian network in ontology mapping. Wuhan Univ. J. Nat. Sci. 11, 1132–1136 (2006). https://doi.org/10.1007/BF02829223

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  • DOI: https://doi.org/10.1007/BF02829223

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