This is the Neural Network in-class presentation. It is motivated by solving the problem of semantic interoperability in DB and Semantic Web, adopting Neural Network techniques, SEMINT and PRIOR+.
【Presentated materials】:
Li, W. and Clifton, C. Semint: A System Prototype for Semantic Integration in Heterogeneous Databases. In Proceedings of SIGMOD Conference. 1995, 484-484.
Li, W. and Clifton, C. Semantic Integration in Heterogeneous Databases Using Neural Networks. In Proceedings of VLDB. 1994, 1-12.
Li, W. and Clifton, C. SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks. In Proceedings of Data Knowl. Eng.. 2000, 49-84.
Li, W., Clifton, C., and Liu, S. Database Integration Using Neural Networks: Implementation and Experiences. In Proceedings of Knowl. Inf. Syst.. 2000, 73-96.
Mao, M. Ontology Mapping: An Information Retrieval and Interactive Activation Network Based Approach. In Proceedings of ISWC/ASWC. 2007, 931-935.
Mao, M., Peng, Y., and Spring, M. Integrating the IAC neural network in ontology mapping. In Proceedings of WWW. 2008, 1223-1224.
Mao, M., Peng, Y., and Spring, M. Neural Network based Constraint Satisfaction in Ontology Mapping. In Proceedings of AAAI. 2008, 1207-1212.
Mao, M. Ph.D. Dissertation. “Ontology Mapping: Towards Semantic Interoperability in Distributed and Heterogeneous Environments”. Univ. of Pitts. 2008.
Duration : 0:7:47