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Précis: The essence of a query answer

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dc.contributor.author Koutrika, G en
dc.contributor.author Simitsis, A en
dc.contributor.author Ioannidis, Y en
dc.date.accessioned 2014-03-01T02:44:09Z
dc.date.available 2014-03-01T02:44:09Z
dc.date.issued 2006 en
dc.identifier.issn 10844627 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/31717
dc.subject Database System en
dc.subject Query Answering en
dc.subject Query Language en
dc.subject Relational Database en
dc.subject Relational Database System en
dc.subject System Architecture en
dc.subject.other Multi-relation databases en
dc.subject.other System architecture en
dc.subject.other Algorithms en
dc.subject.other Knowledge acquisition en
dc.subject.other Online searching en
dc.subject.other Relational database systems en
dc.subject.other Systems analysis en
dc.subject.other User interfaces en
dc.subject.other Query languages en
dc.title Précis: The essence of a query answer en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICDE.2006.114 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICDE.2006.114 en
heal.identifier.secondary 1617437 en
heal.publicationDate 2006 en
heal.abstract Wide spread use of database systems in modern society has brought the need to provide inexperienced users with the ability to easily search a database with no specific knowledge of a query language. Several recent research efforts have focused on supporting keyword-based searches over relational databases. This paper presents an alternative proposal and introduces the idea of précis queries. These are free-form queries whose answer (a précis) is a synthesis of results, containing not only information directly related to the query selections but also information implicitly related to them in various ways. Our approach to précis queries includes two additional novelties: (a) queries do not generate individual relations but entire multi-relation databases; and (b) query results are personalized to user-specific and/or domain requirements. We develop a framework and system architecture for supporting such queries in the context of a relational database system and describe algorithms that implement the required functionality. Finally, we present a set of experimental results that evaluate the proposed algorithms and show the potential of this work. © 2006 IEEE. en
heal.journalName Proceedings - International Conference on Data Engineering en
dc.identifier.doi 10.1109/ICDE.2006.114 en
dc.identifier.volume 2006 en
dc.identifier.spage 69 en


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