Abstract
As integration systems of data sources in the same domain become more and more, another application comes up with the tide of them. Because of correlation of pairs of domains, when we do some queries involving multiple domains, such as “find a post named software development engineer on job web and look for apartments for rental around the company having been chosen”, we note that general-purpose search engines and general integration frameworks fail to answer cross-domain queries. This paper presents SCDQ, an approach providing fully automated support for cross-domain queries. More specifically, for SCDQ, (i) find which domains are correlated based on data sources having been clustered according to domain. (ii) Recommend different cross-domain paths to meet user’s all possible intentions when query arrives.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Deutch, D., Greenshpan, O., Milo, T.: Navigating in Complex Mashed-Up Applications. VLDB Endowment 03, 320–329 (2010)
Deutch, D., Greenshpan, O., Milo, T.: Navigating through mashed-up applications with compass. In: ICDE, pp. 1117–1120. IEEE Press, California (2010)
Mashup information, http://en.wikipedia.org/wiki/Mashup_(web_application_hybrid)
Braga, D., Calvanese, D., Campi, A., Ceri, S., Daniel, F., et al.: NGS: a Framework for Multi-Domain Query Answering. In: ICDE Workshop, pp. 254–261. IEEE Press, Cancún (2008)
Ilyas, I.F., Aref, W.G., Elmagarmid, A.: Supporting top-k join queries in relational databases. In: VLDB, pp. 754–765. VLDB Endowment press, Berlin (2003)
Bruno, N., Gravano, L., Marian, A.: Evaluating top-k queries over web-accessible databases. In: ICDE, p. 369. IEEE Press, San Jose (2002)
Chang, K.C.-C., Hwang, S.w.: Minimal probing: supporting expensive predicates for top-k queries. In: SIGMOD, pp. 346–357. ACM Press, New York (2002)
Liu, W., Meng, X., Ling, Y.: A Web database sampling method based on graph model. Journal of Software 19, 179–193 (2008)
Xiao, G., Liu, J.: The multi-factor decision-making fuzzy evaluation model. Statistics and Decision 09, 12–14 (2007)
Bao, X., Fang, W., Zhao, P., Cui, Z., Hu, P.: A quality estimation model of Deep Web sources. Microelectronics & Computer 25, 47–50 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, Y., Shen, D., Nie, T., Yu, G., Shan, J., Yue, K. (2011). A Self-adaptive Cross-Domain Query Approach on the Deep Web. In: Wang, H., Li, S., Oyama, S., Hu, X., Qian, T. (eds) Web-Age Information Management. WAIM 2011. Lecture Notes in Computer Science, vol 6897. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23535-1_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-23535-1_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23534-4
Online ISBN: 978-3-642-23535-1
eBook Packages: Computer ScienceComputer Science (R0)