Email this article Judging Analogous Data Search In Resultant Web Databases
Abstract
The present scenario is based on internet technologies we are having a huge amount of useful Information which is usually having on the web databases but in not retaive effectively at the time of users needed. Information retrieval is major criteria for the people However it is indeed on WDBs. So. The Web has become the accessible media for many database applications, such as e-commerce and search medias. These applications store information in huge databases that user’s access, query, and update through the Web. Web sites have their own interfaces and access forms for creating HTML pages on the fly. Web database technologies define the way that these forms can connect to and retrieve data from database servers.
In this paper we present a novel approach for annotating web search on the search engines like MSN. It automatically searches data using cluster techniques and present classify the retrieved data.
Keywords
References
Yiyao Lu, Hai He, Hongkun Zhao, Weiyi Meng and Clement Yu, (2013). Annotating Search Results from Web Databases. IEEE Transactions On Knowledge And Data Engineering, Vol. 25, NO. 3.p1-14.
N. Krushmerick, D. Weld, and R. Doorenbos, “Wrapper Inductionfor Information Extraction,” Proc. Int’l Joint Conf. ArtificialIntelligence (IJCAI), 1997.
L. Liu, C. Pu, and W. Han, “XWRAP: An XML-Enabled WrapperConstruction System for Web Information Sources,” Proc. IEEE16th Int’l Conf. Data Eng. (ICDE), 2001. Intelligence (WI ’03), 2003.
W. Meng, C. Yu, and K. Liu, “Building Efficient and ffectiveMetasearch Engines,” ACM Computing Surveys, vol. 34, no. 1,pp. 48-89, 2002.[6] S. Mukherjee, I.V. Ramakrishnan, and A. ingh, “BootstrappingSemantic Annotation for Content-Rich HTML Documents,” Proc.IEEE Int’l Conf. Data Eng. (ICDE), 2005.
D. Embley, D. Campbell, Y. Jiang, S. Liddle, D. Lonsdale, Y. Ng,and R. Smith, “Conceptual-Model-Based Data Extraction fromMultiple-Record Web Pages,” Data and Knowledge Eng., vol. 31,no. 3, pp. 227-251, 1999.
J. Wang and F.H. Lochovsky, “Data Extraction and LabelAssignment for Web Databases,” Proc. 12th Int’l Conf. World WideWeb (WWW),2003.
W. Su, J. Wang, and F.H. Lochovsky, “ODE: Ontology- ssistedData Extraction,” ACM Trans. Database Systems, vol. 34, no. 2,article 12, June 2009.
L. Arlotta, V. Crescenzi, G. Mecca, and P. Merialdo, “AutomaticAnnotation of Data Extracted from Large Web Sites,” Proc. SixthInt’l Workshop the Web and Databases (WebDB), 2003.
J. Zhu, Z. Nie, J. Wen, B. Zhang, and W.-Y. Ma, SimultaneousRecord Detection and Attribute Labeling in Web Data Extraction,”Proc. ACM SIGKDD Int’l Conf. Knowledge Discovery and DataMining, 2006.
Y. Zhai and B. Liu, “Web Data Extraction Based on Partial TreeAlignment,” Proc. 14th Int’l Conf. World Wide Web (WWW ’05),2005.
W. Liu, X. Meng, and W. Meng, “ViDE: A Vision-Based Approachfor Deep Web Data Extraction,” IEEE Trans. Knowledge and DataEng., vol.22, no. 3, pp. 447-460, Mar. 2010.
H. Elmeleegy, J. Madhavan, and A. Halevy, arvestingRelational Tables from Lists on the Web,” Proc. Very LargeDatabases (VLDB) Conf.,2009.
H. Zhao, W. Meng, Z. Wu, V. Raghavan, and C. Yu, “FullyAutomatic Wrapper Generation for Search Engines,” Proc. Int’lConf. World Wide Web (WWW), 2005.
Y. Lu, H. He, H. Zhao, W. Meng, and C. Yu, AnnotatingStructured Data of the Deep Web,” Proc. IEEE 23rd Int’l Conf. DataEng. (ICDE),
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