Abstract
With Fusion Tables, Google has made available a huge repository that allows users to share, visualize and manage structured data. Since 2009, thousands of tables have been shared online, encompassing data from virtually any domain and entered by all kinds of users, from professional to non-experts. While Fusion Tables are a potentially precious source of freely available structured information for all sorts of applications, complex querying and composing them is not supported natively, as it requires understanding both the structure and content of tables’ data, which are heterogeneous and produced "bottom-up". In this paper, we discuss ongoing and future work concerning the integration of Fusion Tables in the aim of efficiently integrating, visualizing, and querying them.
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References
Baeza-Yates, R., Raghavan, P.: Chapter 2: Next Generation Web Search. In: Ceri, S., Brambilla, M. (eds.) Search Computing. LNCS, vol. 5950, pp. 11–23. Springer, Heidelberg (2010)
Bozzon, A., Brambilla, M., Catarci, T., Ceri, S., Fraternali, P., Matera, M.: Visualization of Multi-domain Ranked Data. In: Ceri, S., Brambilla, M. (eds.) Search Computing II. LNCS, vol. 6585, pp. 53–69. Springer, Heidelberg (2011)
Bozzon, A., Brambilla, M., Ceri, S.: Crowdsearcher. In: Proc. WWW 2012, Lyon (to appear, 2012)
Bozzon, A., Brambilla, M., Ceri, S., Fraternali, P.: Liquid Query: Multi-Domain Exploratory Search on the Web. In: Proc. WWW 2010, pp. 161–170 (2011)
Bozzon, A., Brambilla, M., Ceri, S., Quarteroni, S.: A Framework for Integrating, Exploring, and Searching Location-Based Web Data. IEEE Internet Computing 15(6), 24–31 (2011)
Braga, D., Ceri, S., Daniel, F., Martinenghi, D.: Optimization of multi-domain queries on the Web. Proc. VLDB 1(1), 562–573 (2008)
Brambilla, M., Campi, A., Ceri, S., Quarteroni, S.: Semantic Resource Framework. In: Ceri, S., Brambilla, M. (eds.) Search Computing II. LNCS, vol. 6585, pp. 73–84. Springer, Heidelberg (2011)
Cai, D., Yu, S., Wen, J., Ma, W.: Block-based Web Search. In: Proceedings of SIGIR (2004)
Fensel, D., Musen, M.: Special Issue on Semantic Web Technology. IEEE Intelligent Systems (IEEE IS) 16(2)
Google Fusion Tables, http://tables.googlelabs.com/
Gonzalez, H., Halevy, A., Jensen, C., Langen, A., Madhavan, J., Shapley, R., Shen, W., Goldberg-Kidon, J.: Google fusion tables: web-centered data management and collaboration. In: Proceedings of the 2010 International Conference on Management of Data, SIGMOD 2010, Indianapolis, USA, June 06 - 10, pp. 175–180 (2010)
Gonzalez, H., Halevy, A., Jensen, C., Langen, A., Madhavan, J., Shapley, R., Shen, W.: Google Fusion Tables: Data Management, Integration, and Collaboration in the Cloud. In: Proceedings of the ACM Symposium on Cloud Computing, SOCC (2010)
Das Sarma, A., Fang, L., Gupta, N., Halevy, A., Lee, H., Wu, F., Xin, R.: Finding Related Tables. In: Proc. ACM-SIGMOD (to appear, 2012)
Macqueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, pp. 281–297. University of California Press, Berkeley (1967)
WordNet, http://wordnet.princeton.edu/
Von Ahn, L.: Games With A Purpose. Computer 39(6), 92–94 (2006)
Chen, L.J., Wang, B.-C., Zhu, W.-Y.: The design of puzzle selection strategies for ESP-like GWAP systems. IEEE Transactions on Computational Intelligence and Games 2(2) (2010)
Chan, K.T., King, I., Yuen, M.-C.: Mathematical Modeling of Social Games. In: Proceedings of ICCSE 2009. IEEE (2009)
Franklin, M.J., et al.: CrowdDB: answering queries with crowdsourcing. In: Proceedings of the 2011 International Conference on Management of Data (SIGMOD 2011), pp. 61–72. ACM, New York (2011)
Marcus, A., et al.: Crowdsourced Databases: Query Processing with People. In: Conference on Innovative Data Systems Research, Asilomar, CA, pp. 211–214 (2011)
Parameswaran, A., Polyzotis, N.: Answering Queries using Databases, Humans and Algorithms. In: Conference on Innovative Data Systems Research 2011, Asilomar, CA, pp. 160–166 (2011)
Hoffart, J., Suchanek, F.M., Berberich, K., Lewis Kelham, E., de Melo, G., Weikum, G.: YAGO2: Exploring and Querying World Knowledge in Time, Space, Context, and Many Languages. In: Proc. WWW 2011, pp. 229–232 (2011)
Jiang, J., Conrath, D.: Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy. In: Proc. International Conference on Research in Computational Linguistics, Taiwan, (1997)
Wu, Z., Palmer, M.: Verb Semantics and Lexical Selection. In: Proc. 32nd Annual Meeting of the Association for Computational Linguistics, pp. 132–138 (1994)
Levenshtein, V.: Binary codes capable of correcting deletions, insertions and reversals. Soviet Physics Doklady 10, 707–710 (1966)
Ullman, J.: Information Integration using Logical Views. In: Afrati, F.N., Kolaitis, P.G. (eds.) ICDT 1997. LNCS, vol. 1186, pp. 19–40. Springer, Heidelberg (1996)
Lenzerini, M.: Data Integration: A Theoretical Perspective. In: Proc. ACM-PODS, pp. 233–246 (2002)
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Brambilla, M., Ceri, S., Cinefra, N., Das Sarma, A., Forghieri, F., Quarteroni, S. (2012). Extracting Information from Google Fusion Tables. In: Ceri, S., Brambilla, M. (eds) Search Computing. Lecture Notes in Computer Science, vol 7538. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34213-4_4
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DOI: https://doi.org/10.1007/978-3-642-34213-4_4
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