Ontology mapping is the key to solving ontology heterogeneous. In this paper
a new ontology model based on Bayesian-Gaussian is proposed in the face of multiple ontology mapping. First of all
the method transforms the ontology model into a Bayesian network model. Then
based on traditional Bayesian network model
the hybrid Gaussian model is used to cluster the mixed node groups. Finally
iterative mapping mode is used to reduce the error. In the case of obtaining the similarity degree of the initial mapping node
the similarity degree of other similar similarity nodes is determined by the iterative module. The experimental results show that the IOBGM system presented in this paper has outstanding performance on ontology recall rate
and has certain application advantages in the case of multi-ontology mapping. Its stability and efficiency can meet the practical requirements.
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Christmas J, Everson R. Robust autoregression: student-t innovations using variational Bayes[J]. IEEE Transactions on Signal Processing, 2011, 59(1): 48-57. DOI: 48
Babacan S D, Molina R, Katsaggelos A K. Variational bayesian super resolution[J]. IEEE Transactions on Image Processing, 2011, 20(4): 984-999. DOI: 984
Mitra P, Noy N F, Jaiswal A R. Omen: a probabilistic ontology mapping tool[C]//International Semantic Web Conference. Berlin, Heidelberg, Springer, 2005: 537-547.
Hamamoto K, Kitamura A, Taguchi S, et al. Defect cause search support system using ontology and bayesian network in liquid crystal display manufacturing process[J]. Procedia Computer Science, 2016(96): 859-868. DOI: 859
Dragut E, Lawrence R. Composing mappings between schemas using a reference ontology[C]//OTM Confederated International Conferences. Berlin, Heidelberg, Springer, 2004: 783-800.
Borgida A, Serafini L. Distributed description logics: Assimilating information from peer sources[M]. Berlin, Heidelberg, Springer, 2003: 153-184.
Lee D S, Hull J J, Erol B. A bayesian framework for gaussian mixture background modeling[C]//Image Processing, 2003, ICIP 2003. Proceedings. 2003 International Conference on. Barcelona, Spain, IEEE, 2003(3): Ⅲ-973-6.2.
Caterina Caracciolo, Jtrme Euzenat, Laura Hollink, et al. Results of the ontology alignment evaluation initiative 2008[C]//The Third International Workshop on Ontology Matching(OM2008). Karlsruhe, Germany, 2008.
Kalfoglou Y, Schorlemmer M. IF-Map: an ontology-mapping method based on information-flow theory[M]. Berlin, Heidelberg, Springer, 2003: 98-127.
Ehrig M, Euzenat J. Relaxed precision and recall for ontology matching[C]//Proc. K-Cap 2005 workshop on Integrating ontology. Banff, Canada, 2005: 25-32.
Pan R, Ding Z, Yu Y, et al. A bayesian network approach to ontology mapping[C]//International Semantic Web Conference. Berlin, Heidelberg, Springer, 2005: 563-577.