Formal concept analysis approach for data extraction from a limited deep web database

Author:

Zhang Zhuo,Du Juan,Wang Liming

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference23 articles.

1. Barbosa, L., & Freire, J. (2004). Siphoning hidden-web data through keyword-based interfaces. In SBBD.

2. Carpineto, C., & Romano, G. (2004). Exploiting the potential of concept lattices for information retrieval with CREDO. Journal of Universal Computer Science, 10(8), 985–1013.

3. Chang, K., He, B., Zhang, Z. (2005). Toward large scale integration: Building a metaquerier over databases on the web. In Proceedings of CIDR 2005 (pp. 44–55).

4. Chen, K., Zuo, W., Zhang, F., He, F., Chen, Y. (2011). Robust and efficient annotation based on ontology evolution for deep web data. Journal of Computers, 6(10), 2029–2036.

5. Dasgupta, A., Zhang, N., Das, G. (2009). Leveraging count information in sampling hidden databases. In Proceedings of the 25th International Conference on Data Engineering. ICDE’09. IEEE (pp. 329–340).

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