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COMMIX: Towards effective web information extraction, integration and query answering

Publication ,  Conference
Wang, T; Tang, S; Yang, D; Gao, J; Wu, Y; Pei, J
Published in: Proceedings of the ACM SIGMOD International Conference on Management of Data
September 17, 2002

As WWW becomes more and more popular and powerful, how to search information on the web in database way becomes an important research topic. COMMIX, which is developed in the DB group in Peking University (China), is a system towards building very large database using data from the Web for effective information extraction, integration and query answering. COMMIX has some innovative features, such as ontology-based wrapper generation, XML-based information integration, view-based query answering, and QBE-style XML query interface.

Duke Scholars

Published In

Proceedings of the ACM SIGMOD International Conference on Management of Data

ISSN

0730-8078

Publication Date

September 17, 2002

Start / End Page

620
 

Citation

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Wang, T., Tang, S., Yang, D., Gao, J., Wu, Y., & Pei, J. (2002). COMMIX: Towards effective web information extraction, integration and query answering. In Proceedings of the ACM SIGMOD International Conference on Management of Data (p. 620).
Wang, T., S. Tang, D. Yang, J. Gao, Y. Wu, and J. Pei. “COMMIX: Towards effective web information extraction, integration and query answering.” In Proceedings of the ACM SIGMOD International Conference on Management of Data, 620, 2002.
Wang T, Tang S, Yang D, Gao J, Wu Y, Pei J. COMMIX: Towards effective web information extraction, integration and query answering. In: Proceedings of the ACM SIGMOD International Conference on Management of Data. 2002. p. 620.
Wang, T., et al. “COMMIX: Towards effective web information extraction, integration and query answering.” Proceedings of the ACM SIGMOD International Conference on Management of Data, 2002, p. 620.
Wang T, Tang S, Yang D, Gao J, Wu Y, Pei J. COMMIX: Towards effective web information extraction, integration and query answering. Proceedings of the ACM SIGMOD International Conference on Management of Data. 2002. p. 620.

Published In

Proceedings of the ACM SIGMOD International Conference on Management of Data

ISSN

0730-8078

Publication Date

September 17, 2002

Start / End Page

620