Abstract
In this paper we introduce the problem of managing uncertainty on the schema of a relational database. We formalize this problem using a possible world semantics, identify the challenges posed by the co-existence of many alternative schemata, and define some basic properties of a system with uncertain schemata. Finally, we describe a query rewriting system, i.e., the technique used to produce valid queries for each alternative schema, and study its properties.
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Magnani, M., Rizopoulos, N., Mc.Brien, P., Montesi, D.: Schema integration based on uncertain semantic mappings. In: Delcambre, L.M.L., Kop, C., Mayr, H.C., Mylopoulos, J., Pastor, Ó. (eds.) ER 2005. LNCS, vol. 3716, pp. 31–46. Springer, Heidelberg (2005)
Sarma, A.D., Dong, X., Halevy, A.: Bootstrapping pay-as-you-go data integration systems. In: Proceedings of the 2008 ACM SIGMOD international conference on Management of data, pp. 861–874. ACM, New York (2008)
Magnani, M., Montesi, D.: Dimensions of ignorance in a semi-structured data model. In: DEXA Workshop, pp. 933–937. IEEE Computer Society, Los Alamitos (2004)
Magnani, M., Montesi, D.: Uncertainty in data integration: current approaches and open problems. In: VLDB Workshop on Management of Uncertain Data (2007)
Sarma, A.D., Dong, X., Halevy, A.: Uncertainty in data integration. In: Managing and Mining Uncertain Data. Springer, Heidelberg (2008)
Re, C., Dalvi, N.N., Suciu, D.: Efficient top-k query evaluation on probabilistic data. In: Proceedings of the 23rd International Conference on Data Engineering, pp. 886–895. IEEE, Los Alamitos (2007)
Sarma, A.D., Benjelloun, O., Halevy, A.Y., Widom, J.: Working models for uncertain data. In: Proceedings of the 22nd International Conference on Data Engineering, p. 7. IEEE Computer Society, Los Alamitos (2006)
Boulos, J., Dalvi, N.N., Mandhani, B., Mathur, S., Ré, C., Suciu, D.: Mystiq: a system for finding more answers by using probabilities. In: SIGMOD Conference, pp. 891–893 (2005)
Cheng, R., Singh, S., Prabhakar, S.: U-dbms: A database system for managing constantly-evolving data. In: Proceedings of the 31st International Conference on Very Large Data Bases, pp. 1271–1274. ACM, New York (2005)
Widom, J.: Trio: A system for integrated management of data, accuracy, and lineage. In: CIDR, pp. 262–276 (2005)
Agrawal, P., Benjelloun, O., Sarma, A.D., Hayworth, C., Nabar, S.U., Sugihara, T., Widom, J.: Trio: A system for data, uncertainty, and lineage. In: Proceedings of the 32nd International Conference on Very Large Data Bases, pp. 1151–1154. ACM, New York (2006)
van Keulen, M., de Keijzer, A., Alink, W.: A probabilistic XML approach to data integration. In: 21st International Conference on Data Engineering, pp. 459–470 (2005)
Magnani, M., Montesi, D.: Management of interval probabilistic data. Acta Informatica 45(2), 93–130 (2008)
Lenzerini, M.: Data integration: a theoretical perspective. In: PODS Conference, pp. 233–246 (2002)
Halevy, A.Y., Rajaraman, A., Ordille, J.J.: Data integration: The teenage years. In: VLDB, pp. 9–16 (2006)
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Magnani, M., Montesi, D. (2009). Towards Relational Schema Uncertainty. In: Godo, L., Pugliese, A. (eds) Scalable Uncertainty Management. SUM 2009. Lecture Notes in Computer Science(), vol 5785. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04388-8_13
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DOI: https://doi.org/10.1007/978-3-642-04388-8_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04387-1
Online ISBN: 978-3-642-04388-8
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