Abstract
Many approaches for consistency restoration in database systems have to deal with the problem of an exponential blowup in the number of possible repairs. For this reason, recent approaches advocate more flexible and fine grained policies based on the reasoner’s preference. In this paper we take a further step towards more personalized inconsistency management by incorporating ideas from context-aware systems. The outcome is a general distance-based approach to inconsistency maintenance in database systems, controlled by context-aware considerations.
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
Abowd, G.D., Dey, A.K.: Towards a better understanding of context and context-awareness. In: Gellersen, H.-W. (ed.) HUC 1999. LNCS, vol. 1707, pp. 304–307. Springer, Heidelberg (1999)
Arenas, M., Bertossi, L., Chomicki, J.: Answer sets for consistent query answering in inconsistent databases. TPLP 3(4-5), 393–424 (2003)
Arieli, O.: Distance-based paraconsistent logics. International Journal of Approximate Reasoning 48(3), 766–783 (2008)
Arieli, O.: Reasoning with prioritized information by iterative aggregation of distance functions. Journal of Applied Logic 6(4), 589–605 (2008)
Arieli, O., Denecker, M., Bruynooghe, M.: Distance semantics for database repair. Annals of Mathematics and Artificial Intelligence 50(3-4), 389–415 (2007)
Baldauf, M., Dustdar, S., Rosenberg, F.: A survey on context-aware systems. International Journal of Ad Hoc and Ubiquitous Computing 2(4), 263–277 (2007)
Bertossi, L.: Consistent query answering in databases. SIGMOD Record 35(2), 68–76 (2006)
Bolchini, C., Curino, C., Orsi, G., Quintarelli, E., Rossato, R., Schreiber, F.A., Tanca, L.: And what can context do for data? Comm. ACM 52(11), 136–140 (2009)
Brézillon, P.: Context in artificial intelligence: I. A survey of the literature. Computers and Artificial Intelligence 18(4) (1999)
Chomicki, J.: Consistent query answering: Five easy pieces. In: Schwentick, T., Suciu, D. (eds.) ICDT 2007. LNCS, vol. 4353, pp. 1–17. Springer, Heidelberg (2006)
Dey, A.: Understanding and using context. Personal and Ubiquitous Computing 5(1), 4–7 (2001)
Eiter, T., Mannila, H.: Distance measure for point sets and their computation. Acta Informatica 34, 109–133 (1997)
Ekbia, H.R., Maguitman, A.G.: Context and relevance: A pragmatic approach. In: Akman, V., Bouquet, P., Thomason, R.H., Young, R.A. (eds.) CONTEXT 2001. LNCS (LNAI), vol. 2116, pp. 156–169. Springer, Heidelberg (2001)
Henricksen, K., Indulska, J.: Developing context-aware pervasive computing applications: Models and approach. Pervasive and Mobile Comput. 2, 37–64 (2006)
Konieczny, S., Lang, J., Marquis, P.: DA2 merging operators. Artificial Intelligence 157(1-2), 49–79 (2004)
Konieczny, S., Pino Pérez, R.: Merging information under constraints: A logical framework. Logic and Computation 12(5), 773–808 (2002)
Pitoura, E., Stefanidis, K., Vassiliadis, P.: Contextual database preferences. IEEE Data Engeneering Bulletin 34(2), 19–26 (2011)
Staworko, S., Chomicki, J., Marcinkowski, J.: Prioritized repairing and consistent query answering in relational databases. Ann. Math. Artif. Intel. 64, 209–246 (2012)
Stefanidis, K., Pitoura, E.: Fast contextual preference scoring of database tuples. In: Proceedings of EDBT 2008, pp. 344–355. ACM (2008)
Stefanidis, K., Pitoura, E., Vassiliadis, P.: Managing contextual preferences. Information Systems 36(8), 1158–1180 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Zamansky, A., Arieli, O., Stefanidis, K. (2014). Context-Aware Distance Semantics for Inconsistent Database Systems. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-319-08855-6_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-08855-6_20
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08854-9
Online ISBN: 978-3-319-08855-6
eBook Packages: Computer ScienceComputer Science (R0)