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Issue No.03 - March (2013 vol.25)
pp: 514-527
Yiyao Lu , Binghamton University, Binghamton
Hai He , Morningstar Inc., Chicago
Hongkun Zhao , Bloomberg L.P., Princeton
Weiyi Meng , Binghamton University, Binghamton
Clement Yu , University of Illinois at Chicago, Chicago
An increasing number of databases have become web accessible through HTML form-based search interfaces. The data units returned from the underlying database are usually encoded into the result pages dynamically for human browsing. For the encoded data units to be machine processable, which is essential for many applications such as deep web data collection and Internet comparison shopping, they need to be extracted out and assigned meaningful labels. In this paper, we present an automatic annotation approach that first aligns the data units on a result page into different groups such that the data in the same group have the same semantic. Then, for each group we annotate it from different aspects and aggregate the different annotations to predict a final annotation label for it. An annotation wrapper for the search site is automatically constructed and can be used to annotate new result pages from the same web database. Our experiments indicate that the proposed approach is highly effective.
HTML, Semantics, Database systems, Data mining, Ontologies, Clustering algorithms, Information retrieval, wrapper generation, Data alignment, data annotation, web database
Yiyao Lu, Hai He, Hongkun Zhao, Weiyi Meng, Clement Yu, "Annotating Search Results from Web Databases", IEEE Transactions on Knowledge & Data Engineering, vol.25, no. 3, pp. 514-527, March 2013, doi:10.1109/TKDE.2011.175
[1] A. Arasu and H. Garcia-Molina, "Extracting Structured Data from Web Pages," Proc. SIGMOD Int'l Conf. Management of Data, 2003.
[2] L. Arlotta, V. Crescenzi, G. Mecca, and P. Merialdo, "Automatic Annotation of Data Extracted from Large Web Sites," Proc. Sixth Int'l Workshop the Web and Databases (WebDB), 2003.
[3] P. Chan and S. Stolfo, "Experiments on Multistrategy Learning by Meta-Learning," Proc. Second Int'l Conf. Information and Knowledge Management (CIKM), 1993.
[4] W. Bruce Croft, "Combining Approaches for Information Retrieval," Advances in Information Retrieval: Recent Research from the Center for Intelligent Information Retrieval, Kluwer Academic, 2000.
[5] V. Crescenzi, G. Mecca, and P. Merialdo, "RoadRUNNER: Towards Automatic Data Extraction from Large Web Sites," Proc. Very Large Data Bases (VLDB) Conf., 2001.
[6] S. Dill et al., "SemTag and Seeker: Bootstrapping the Semantic Web via Automated Semantic Annotation," Proc. 12th Int'l Conf. World Wide Web (WWW) Conf., 2003.
[7] H. Elmeleegy, J. Madhavan, and A. Halevy, "Harvesting Relational Tables from Lists on the Web," Proc. Very Large Databases (VLDB) Conf., 2009.
[8] D. Embley, D. Campbell, Y. Jiang, S. Liddle, D. Lonsdale, Y. Ng, and R. Smith, "Conceptual-Model-Based Data Extraction from Multiple-Record Web Pages," Data and Knowledge Eng., vol. 31, no. 3, pp. 227-251, 1999.
[9] D. Freitag, "Multistrategy Learning for Information Extraction," Proc. 15th Int'l Conf. Machine Learning (ICML), 1998.
[10] D. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Addison Wesley, 1989.
[11] S. Handschuh, S. Staab, and R. Volz, "On Deep Annotation," Proc. 12th Int'l Conf. World Wide Web (WWW), 2003.
[12] S. Handschuh and S. Staab, "Authoring and Annotation of Web Pages in CREAM," Proc. 11th Int'l Conf. World Wide Web (WWW), 2003.
[13] B. He and K. Chang, "Statistical Schema Matching Across Web Query Interfaces," Proc. SIGMOD Int'l Conf. Management of Data, 2003.
[14] H. He, W. Meng, C. Yu, and Z. Wu, "Automatic Integration of Web Search Interfaces with WISE-Integrator," VLDB J., vol. 13, no. 3, pp. 256-273, Sept. 2004.
[15] H. He, W. Meng, C. Yu, and Z. Wu, "Constructing Interface Schemas for Search Interfaces of Web Databases," Proc. Web Information Systems Eng. (WISE) Conf., 2005.
[16] J. Heflin and J. Hendler, "Searching the Web with SHOE," Proc. AAAI Workshop, 2000.
[17] L. Kaufman and P. Rousseeuw, Finding Groups in Data: An Introduction to Cluster Analysis. John Wiley & Sons, 1990.
[18] N. Krushmerick, D. Weld, and R. Doorenbos, "Wrapper Induction for Information Extraction," Proc. Int'l Joint Conf. Artificial Intelligence (IJCAI), 1997.
[19] J. Lee, "Analyses of Multiple Evidence Combination," Proc. 20th Ann. Int'l ACM SIGIR Conf. Research and Development in Information Retrieval, 1997.
[20] L. Liu, C. Pu, and W. Han, "XWRAP: An XML-Enabled Wrapper Construction System for Web Information Sources," Proc. IEEE 16th Int'l Conf. Data Eng. (ICDE), 2001.
[21] W. Liu, X. Meng, and W. Meng, "ViDE: A Vision-Based Approach for Deep Web Data Extraction," IEEE Trans. Knowledge and Data Eng., vol. 22, no. 3, pp. 447-460, Mar. 2010.
[22] Y. Lu, H. He, H. Zhao, W. Meng, and C. Yu, "Annotating Structured Data of the Deep Web," Proc. IEEE 23rd Int'l Conf. Data Eng. (ICDE), 2007.
[23] J. Madhavan, D. Ko, L. Lot, V. Ganapathy, A. Rasmussen, and A.Y. Halevy, "Google's Deep Web Crawl," Proc. VLDB Endowment, vol. 1, no. 2, pp. 1241-1252, 2008.
[24] W. Meng, C. Yu, and K. Liu, "Building Efficient and Effective Metasearch Engines," ACM Computing Surveys, vol. 34, no. 1, pp. 48-89, 2002.
[25] S. Mukherjee, I.V. Ramakrishnan, and A. Singh, "Bootstrapping Semantic Annotation for Content-Rich HTML Documents," Proc. IEEE Int'l Conf. Data Eng. (ICDE), 2005.
[26] B. Popov, A. Kiryakov, A. Kirilov, D. Manov, D. Ognyanoff, and M. Goranov, "KIM - Semantic Annotation Platform," Proc. Int'l Semantic Web Conf. (ISWC), 2003.
[27] G. Salton and M. McGill, Introduction to Modern Information Retrieval. McGraw-Hill, 1983.
[28] W. Su, J. Wang, and F.H. Lochovsky, "ODE: Ontology-Assisted Data Extraction," ACM Trans. Database Systems, vol. 34, no. 2,article 12, June 2009.
[29] J. Wang, J. Wen, F. Lochovsky, and W. Ma, "Instance-Based Schema Matching for Web Databases by Domain-Specific Query Probing," Proc. Very Large Databases (VLDB) Conf., 2004.
[30] J. Wang and F.H. Lochovsky, "Data Extraction and Label Assignment for Web Databases," Proc. 12th Int'l Conf. World Wide Web (WWW), 2003.
[31] Z. Wu et al., "Towards Automatic Incorporation of Search Engines into a Large-Scale Metasearch Engine," Proc. IEEE/WIC Int'l Conf. Web Intelligence (WI '03), 2003.
[32] O. Zamir and O. Etzioni, "Web Document Clustering: A Feasibility Demonstration," Proc. ACM 21st Int'l SIGIR Conf. Research Information Retrieval, 1998.
[33] Y. Zhai and B. Liu, "Web Data Extraction Based on Partial Tree Alignment," Proc. 14th Int'l Conf. World Wide Web (WWW '05), 2005.
[34] H. Zhao, W. Meng, Z. Wu, V. Raghavan, and C. Yu, "Fully Automatic Wrapper Generation for Search Engines," Proc. Int'l Conf. World Wide Web (WWW), 2005.
[35] H. Zhao, W. Meng, and C. Yu, "Mining Templates form Search Result Records of Search Engines," Proc. ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, 2007.
[36] J. Zhu, Z. Nie, J. Wen, B. Zhang, and W.-Y. Ma, "Simultaneous Record Detection and Attribute Labeling in Web Data Extraction," Proc. ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, 2006.
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