Reusing classical query rewriting in P2P databases

Kantere, V; Sellis, T

dc.contributor.author	Kantere, V	en
dc.contributor.author	Sellis, T	en
dc.date.accessioned	2014-03-01T02:51:10Z
dc.date.available	2014-03-01T02:51:10Z
dc.date.issued	2007	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35418
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-38149074059&partnerID=40&md5=adebd873fc0f15da74039261f29cd876	en
dc.subject.other	Query rewriting	en
dc.subject.other	Structural constraints	en
dc.subject.other	Algorithms	en
dc.subject.other	Data structures	en
dc.subject.other	Distributed database systems	en
dc.subject.other	Information retrieval	en
dc.subject.other	Semantics	en
dc.subject.other	Query processing	en
dc.title	Reusing classical query rewriting in P2P databases	en
heal.type	conferenceItem	en
heal.publicationDate	2007	en
heal.abstract	Sharing of structured data in P2P overlays is a challenging problem, especially in the absence of a global schema. The nature of structured data stored in the overlay enforces strict methods of querying. However, the intention of the user is usually to obtain information that is semantically relevant to the posed query and not information that strictly complies to structural constraints. The rewriting mechanisms for structured data were initially developed for tasks such as data integration and mediation, which by nature dictate strict consistency. In this work we propose ways of preprocessing a query in order to produce a version that can be rewritten in the classical way. We propose preprocessing guidelines that produce a new query that is most similar to the initially posed query. Accordingly, we discuss thoroughly query similarity aspects from a structural point of view. Finally, we present an algorithm that selects the most appropriate mappings in order to perform query rewriting. © Springer-Verlag Berlin Heidelberg 2007.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.volume	4125 LNCS	en
dc.identifier.spage	285	en
dc.identifier.epage	297	en