PrefDB: Bringing preferences closer to the DBMS

Arvanitis, A; Koutrika, G

dc.contributor.author	Arvanitis, A	en
dc.contributor.author	Koutrika, G	en
dc.date.accessioned	2014-03-01T02:54:00Z
dc.date.available	2014-03-01T02:54:00Z
dc.date.issued	2012	en
dc.identifier.issn	07308078	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36525
dc.subject	preferences	en
dc.subject	query personalization	en
dc.subject.other	Black boxes	en
dc.subject.other	Database engine	en
dc.subject.other	Graphical tools	en
dc.subject.other	Hybrid implementation	en
dc.subject.other	preferences	en
dc.subject.other	Query optimization	en
dc.subject.other	Query personalization	en
dc.subject.other	Relational data models	en
dc.subject.other	Relational queries	en
dc.subject.other	Database systems	en
dc.subject.other	Core levels	en
dc.title	PrefDB: Bringing preferences closer to the DBMS	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1145/2213836.2213927	en
heal.identifier.secondary	http://dx.doi.org/10.1145/2213836.2213927	en
heal.publicationDate	2012	en
heal.abstract	In this demonstration we present a preference-aware relational query answering system, termed PrefDB. The key novelty of PrefDB is the use of an extended relational data model and algebra that allow expressing different flavors of preferential queries. Furthermore, unlike existing approaches that either treat the DBMS as a black box or require modifications of the database core, PrefDB's hybrid implementation enables operator-level query optimizations without being obtrusive to the database engine. We showcase the flexibility and efficiency of PrefDB using PrefDBAdmin, a graphical tool that we have built aiming at assisting application designers in the task of building, testing and tuning queries with preferences. © 2012 ACM.	en
heal.journalName	Proceedings of the ACM SIGMOD International Conference on Management of Data	en
dc.identifier.doi	10.1145/2213836.2213927	en
dc.identifier.spage	665	en
dc.identifier.epage	668	en