Number of co-authors:21
Number of publications with 3 favourite co-authors:Satya K. Gandham:Ritesh Mehra:Ryan Benton:
Zonghuan Wu's 3 most productive colleagues in number of publications:Vijay V. Raghavan:26Weiyi Meng:22Clement T. Yu:22
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Publications by Zonghuan Wu (bibliography)
Chu, Shixian, Chen, Jinfeng, Wu, Zonghuan, Chu, Chee-Hung Henry and Raghavan, Vijay V. (2007): A Treemap-Based Result Interface for Search Engine Users. In: Smith, Michael J. and Salvendy, Gavriel (eds.) Symposium on Human Interface 2007 - Part I July 22-27, 2007, Beijing, China. pp. 401-410. http://dx.doi.org/10.1007/978-3-540-73345-4_46
Zhao, Hongkun, Meng, Weiyi, Wu, Zonghuan, Raghavan, Vijay V. and Yu, Clement (2005): Fully automatic wrapper generation for search engines. In: Proceedings of the 2005 International Conference on the World Wide Web 2005. pp. 66-75. http://doi.acm.org/10.1145/1060745.1060760
When a query is submitted to a search engine, the search engine returns a dynamically generated result page containing the result records, each of which usually consists of a link to and/or snippet of a retrieved Web page. In addition, such a result page often also contains information irrelevant to the query, such as information related to the hosting site of the search engine and advertisements. In this paper, we present a technique for automatically producing wrappers that can be used to extract search result records from dynamically generated result pages returned by search engines. Automatic search result record extraction is very important for many applications that need to interact with search engines such as automatic construction and maintenance of metasearch engines and deep Web crawling. The novel aspect of the proposed technique is that it utilizes both the visual content features on the result page as displayed on a browser and the HTML tag structures of the HTML source file of the result page. Experimental results indicate that this technique can achieve very high extraction accuracy.
© All rights reserved Zhao et al. and/or ACM Press
Karnatapu, Surendra, Ramachandran, Karthik, Wu, Zonghuan, Shah, Biren, Raghavan, Vijay V. and Benton, Ryan (2004): Estimating Size of Search Engines in an Uncooperative Environment. In: Yao, Jingtao, Raghavan, Vijay V. and Wang, G. Y. (eds.) Proceedings of the 2nd International Workshop on Web-based Support Systems September 20, 2004, Beijing, China. pp. 81-87. http://
Mehra, Ritesh, Gandham, Satya K., Wu, Zonghuan and Raghavan, Vijay V. (2004): Configuring Java-Based Web Application Development Environment for an Academic Setting. In: Yao, Jingtao, Raghavan, Vijay V. and Wang, G. Y. (eds.) Proceedings of the 2nd International Workshop on Web-based Support Systems September 20, 2004, Beijing, China. pp. 111-118. http://
Wu, Zonghuan, Mundluru, Dheerendranath and Raghavan, Vijay V. (2004): Automatically Detecting Boolean Operations Supported by Search Engines, Towards Search Engine Query Language Discovery. In: Yao, Jingtao, Raghavan, Vijay V. and Wang, G. Y. (eds.) Proceedings of the 2nd International Workshop on Web-based Support Systems September 20, 2004, Beijing, China. pp. 171-178. http://
He, Hai, Meng, Weiyi, Yu, Clement and Wu, Zonghuan (2004): Automatic extraction of web search interfaces for interface schema integration. In: Proceedings of the 2004 International Conference on the World Wide Web 2004. pp. 414-415. http://doi.acm.org/10.1145/1013367.1013502
This paper provides an overview of a technique for extracting information from the Web search interfaces of e-commerce search engines that is useful for supporting automatic search interface integration. In particular, we discuss how to group elements and labels on a search interface into attributes and how to derive certain meta-information for each attribute.
© All rights reserved He et al. and/or ACM Press
Wu, Zonghuan, Raghavan, Vijay V., Du, Chun, C, Komanduru Sai, Meng, Weiyi, He, Hai and Yu, Clement (2003): SE-LEGO: creating metasearch engines on demand. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2003. p. 464. http://doi.acm.org/10.1145/860435.860555
Wu, Zonghuan, Raghavan, Vijay V., Qian, Hua, Rama, Vuyyuru, Meng, Weiyi, He, Hai and Yu, Clement T. (2003): Towards Automatic Incorporation of Search Engines into a Large-Scale Metasearch Engine. In: 2003 IEEE / WIC International Conference on Web Intelligence - WI 2003 13-17 October, 2003, Halifax, Canada. pp. 658-661. http://csdl.computer.org/comp/proceedings/wi/2003/1932/00/19320658abs.htm
Meng, Weiyi, Wu, Zonghuan, Yu, Clement and Li, Zhuogang (2001): A highly scalable and effective method for metasearch. In ACM Transactions on Information Systems, 19 (3) pp. 310-335. http://doi.acm.org/10.1145/502115.502120
A metasearch engine is a system that supports unified access to multiple local search engines. Database selection is one of the main challenges in building a large-scale metasearch engine. The problem is to efficiently and accurately determine a small number of potentially useful local search engines to invoke for each user query. In order to enable accurate selection, metadata that reflect the contents of each search engine need to be collected and used. This article proposes a highly scalable and accurate database selection method. This method has several novel features. First, the metadata for representing the contents of all search engines are organized into a single integrated representative. Such a representative yields both computational efficiency and storage efficiency. Second, the new selection method is based on a theory for ranking search engines optimally. Experimental results indicate that this new method is very effective. An operational prototype system has been built based on the proposed approach.
© All rights reserved Meng et al. and/or ACM Press
Wu, Zonghuan, Meng, Weiyi, Yu, Clement and Li, Zhuogang (2001): Towards a highly-scalable and effective metasearch engine. In: Proceedings of the 2001 International Conference on the World Wide Web 2001. pp. 386-395. http://doi.acm.org/10.1145/371920.372093
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