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A Multi-strategy Approach for Catalog Integration

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PRICAI 2004: Trends in Artificial Intelligence (PRICAI 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3157))

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Abstract

When we have a large amount of information, we usually use categories with a hierarchy, in which all information is assigned. This paper proposes a new method of integrating two catalogs with hierarchical categories. The proposed method uses not only the contents of information but also the structures of both hierarchical categories. We conducted experiments using two actual Internet directories, and the results show improved performance compared with the previous approach.

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References

  1. Agrawal, R., Srikant, R.: On integrating catalogs. In: Proc. of the 10th Int. World Wide Web Conf., pp. 603–612 (2001)

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  2. Google (2003), http://directory.google.com/

  3. Ichise, R., Takeda, H., Honiden, S.: Integrating Multiple Internet Directories by Instance-based Learning. In: Proc. of the 18th Int. Joint Conf. on AI, pp. 22–28 (2003)

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  4. McCallum, K., et al.: Improving text classification by shrinkage in a hierarchy of classes. In: Proc. of the 15th Int. Conf. on Machine Learning, pp. 359–367 (1998)

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  5. Yahoo! (2003), http://www.yahoo.com/

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© 2004 Springer-Verlag Berlin Heidelberg

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Ichise, R., Hamasaki, M., Takeda, H. (2004). A Multi-strategy Approach for Catalog Integration. In: Zhang, C., W. Guesgen, H., Yeap, WK. (eds) PRICAI 2004: Trends in Artificial Intelligence. PRICAI 2004. Lecture Notes in Computer Science(), vol 3157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28633-2_106

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  • DOI: https://doi.org/10.1007/978-3-540-28633-2_106

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22817-2

  • Online ISBN: 978-3-540-28633-2

  • eBook Packages: Springer Book Archive

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