TupleRank: Ranking Discovered Content in Virtual Databases

Berlin, Jacob; Motro, Amihai

doi:10.1007/11780991_2

Cited by 3 publications

(1 citation statement)

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“…Or, taking application semantics into account, a specific weight may be assigned to each element of each cause, similar to the tuple ranking in [5]. Then, τ can be defined by adding up the weights of elements in C θ ∩ C IC .…”

Section: Definition 5 (Atu)mentioning

confidence: 99%

Capturing and Scaling Up Concurrent Transactions in Uncertain Databases

Cuzzocrea

Decker

Muñoz-Escoí

2013

Advanced Techniques for Knowledge Engineering and Innovative Applications

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This chapter provides a complete framework for capturing and scaling-up concurrent transactions over 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 worse the uncertainty of database management activities beyond to 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.

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Section: Definition 5 (Atu)mentioning

confidence: 99%