Abstract
One interesting problem in data integration is, when users submit a query in one domain, he may also want to know more information in other domains which haven’t come up to his or her mind yet. It’s a great idea to recommend correlated domains to users so that they could get more information. However, the existing researches in solving this problem are quite rare and limited. In this paper, we propose a method of selecting query paths, and the query paths consist of correlated domains. We propose an entity class model which is based to construct a domain correlation graph, and query paths are picked based on the graph. At last we evaluate our method by experiments and demonstrate the effectiveness of our method.
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References
Deutch, D., Greenshpan, O., Milo, T.: Navigating in Complex Mashed-Up Applications. PVLDB 3, 320–329 (2010)
Deutch, D., Greenshpan, O., Milo, T.: Navigating through mashed-up applications with compass. In: ICDE 2010, pp. 1117–1120. IEEE Press, New York (2010)
Braga, D., Calvanese, D., Campi, A., et al.: NGS: a Framework for Multi-Domain Query Answering. In: ICDE Workshop 2010, pp. 254–261. IEEE Press, New York (2008)
Chen, G., Liu, C., Lu, M., et al.: A Cross-Service Travel Engine for Trip Planning. In: SIGMOD 2011, pp. 1251–1253. ACM Press, New York (2011)
Bozzon, A., Braga, D., Brambilla, M., et al.: Search Computing: Multi-domain Search on Ranked Data. In: SIGMOD 2011, pp. 1267–1269. ACM Press, New York (2011)
Li, Y., Shen, D., Nie, T., Yu, G., Shan, J., Yue, K.: A Self-adaptive Cross-Domain Query Approach on the Deep Web. In: Wang, H., Li, S., Oyama, S., Hu, X., Qian, T. (eds.) WAIM 2011. LNCS, vol. 6897, pp. 43–55. Springer, Heidelberg (2011)
Xiao, G., Liu, J.: A Multi-factor Fuzzy Evaluation Model. J. Statistics and Decision 9, 12–14 (2007)
Nambiar, U., Kambhampati, S.: Answering imprecise queries over autonomous web database. In: ICDE 2006, pp. 45–54. IEEE Press, New York (2006)
Saaty, T.L.: How to Make a Decision: The Analytic Hierarchy Process. European Journal of Operational Research 48, 9–26 (1990)
Pawlak, Z.: Rough Sets: Theoretical Aspect of Reasoning about Data. Kluwer Academic Plblishers, Norwell (1992)
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Shan, J., Shen, D., Nie, T., Kou, Y., Yu, G. (2012). An Entity Class Model Based Correlated Query Path Selection Method in Multiple Domains. In: Sheng, Q.Z., Wang, G., Jensen, C.S., Xu, G. (eds) Web Technologies and Applications. APWeb 2012. Lecture Notes in Computer Science, vol 7235. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29253-8_59
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DOI: https://doi.org/10.1007/978-3-642-29253-8_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29252-1
Online ISBN: 978-3-642-29253-8
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