Learning Ontology Alignments Using Recursive Neural Networks-Reference-Cited by-同舟云学术

Learning Ontology Alignments Using Recursive Neural Networks

Published:2005 Issue: Volume: Page:811-816
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Chortaras Alexandros,Stamou Giorgos,Stafylopatis Andreas

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11550907_128

Reference9 articles.

1. Bianchini, M., Gori, M., Scarselli, F.: Recursive Processing of Directed Cyclic Graphs, In: Proc. IEEE Int. Conf. Neural Networks, pp. 154–159 (2002)

2. Doan, A., Madhavan, J., Domingos, P., Halevy, A.: Ontology Matching: A Machine Learning Approach. In: Staab, S., Studer, R. (eds.) Handbook on Ontologies in Information Systems, pp. 397–416. Springer, Heidelberg (2004)

3. Frasconi, P., Gori, M., Sperduti, M.: A General Framework for Adaptive Processing of Data Structures. IEEE Trans. Neural Networks 9(5), 768–786 (1997)

4. Gori, M., Maggini, M., Sarti, L.: A Recursive Neural Network Model for Processing Directed Acyclic Graphs with Labeled Edges. In: Proc. Int. J. Conf. Neural Networks, vol. 2, pp. 1351–1355 (2003)

5. Melnik, S., Garcia-Molina, H., Rahm, E.: Similarity Flooding: A Versatile Graph Matching Algorithm. Extended Technical Report (2001)

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