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J. Yang, H. Seo, N. Koo, and J. Choi, "A more scalable comparison shopping agent," Proceedings of Engineering of Intelligent Systems (EIS2000), pp. 766--772, 2000.

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This paper is cited in the following contexts:
Building Intelligent Systems For Mining Information.. - Seo, Yang, Choi (2001)   Self-citation (Yang Seo Choi)   (Correct)

....meaning of table elements by referring their parent nodes. More testing on about 100 sites in the same domain is in progress to evaluate the system s power more practically. Eventually, we are aiming at building a customized wrapper learning agent that can be applied to multi domain environments[14]. ....

J. Yang, H. Seo, N. Koo, and J. Choi, "A more scalable comparison shopping agent," Proceedings of Engineering of Intelligent Systems (EIS2000), pp. 766--772, 2000.


Knowledge-based Wrapper Generation by Using XML - Seo, Yang, Choi (2001)   (1 citation)  Self-citation (Yang Seo Choi)   (Correct)

.... effective in manipulating real world information sources due to difficulties in acquiring and representing useful domain knowledge, and the requirement of user involvement in preparing training examples and obtaining extraction heuristics[Ambite et al. 1998; Muslea, et al. 1999; Soderland, 2000; Yang et al. 2000a] In order to resolve these problems, this paper proposes a scheme of knowledge based wrapper generation for semistructured and labeled documents, and the implementation of an agent oriented information extraction system, XTROS, is described. XTROS automatically generates a wrapper for each ....

....meaning of table elements by referring their parent nodes. More testing of XTROS for about 100 sites in the same domain is in progress to evaluate its power more practically. Eventually, we are aiming at building a customized wrapper learning agent that can be applied to multi domain environments[Yang et al. 2000b] ....

J. Yang, H. Seo, N. Koo, and J. Choi. A more scalable comparison shopping agent. In Proceedings of Engineering of Intelligent Systems (EIS2000), pages 766--772, 2000.

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