Capturing and Scaling Up Concurrent Transactions in Uncertain Databases

The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-42017-7_6[EN] This chapter provides a framework for capturing and scaling up concurrent transactions in uncertain databases. Models and methods proposed in the context of this framework for managing data uncertainty are innovative as previous studies have not considered the specific case of concurrent transactions, which may worsen the uncertainty of database management activities beyond the simplest case of isolated transactions. Indeed, as this chapter demonstrates, inconsistency tolerance of integrity management, constraint checking and repairing easily scale up to concurrent transactions in a natural way, and query answers in concurrent transactions over uncertain data remain certain in the presence of uncertainty. This analytical contribution is enriched by means of a reference architecture for uncertain database management under concurrent transactions that strictly adheres to models and methods that are the main contributions of this research.The second and the third author have been supported by FEDER and the Spanish grants TIN2009-14460-C03, TIN2010-17139.Cuzzocrea, A.; Decker, H.; Muñoz-Escoí, FD. (2013). Capturing and Scaling Up Concurrent Transactions in Uncertain Databases. Communications in Computer and Information Science. 246:70-85. https://doi.org/10.1007/978-3-642-42017-7_6708524