Linear Programs with Conjunctive Queries - Archive ouverte HAL Access content directly
Conference Papers Year :

Linear Programs with Conjunctive Queries

Abstract

In this paper, we study the problem of optimizing a linear program whose variables are answers to a conjunctive query. For this we propose the language LP(CQ) for specifying linear programs whose constraints and objective functions depend on the answer sets of conjunctive queries. We contribute an efficient algorithm for solving programs in a fragment of LP(CQ). The naive approach constructs a linear program having as many variables as elements in the answer set of the queries. Our approach constructs a linear program having the same optimal value but fewer variables. This is done by exploiting the structure of the conjunctive queries using hypertree decompositions of small width to group elements of the answer set together. We illustrate the various applications of LP(CQ) programs on three examples: optimizing deliveries of resources, minimizing noise for differential privacy, and computing the s-measure of patterns in graphs as needed for data mining.
Fichier principal
Vignette du fichier
2.pdf (922.92 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01981553 , version 1 (21-09-2021)

Identifiers

Cite

Florent Capelli, Nicolas Crosetti, Joachim Niehren, Jan Ramon. Linear Programs with Conjunctive Queries. 25th Internationcal Conference on Database Theory (ICDT 2022), Mar 2022, Edinburgh, United Kingdom. ⟨hal-01981553⟩
244 View
130 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More