Implementing a query language for context-dependent semistructured data

Stavrakas, Y; Pristouris, K; Efandis, A; Sellis, T

dc.contributor.author	Stavrakas, Y	en
dc.contributor.author	Pristouris, K	en
dc.contributor.author	Efandis, A	en
dc.contributor.author	Sellis, T	en
dc.date.accessioned	2014-03-01T01:20:36Z
dc.date.available	2014-03-01T01:20:36Z
dc.date.issued	2004	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15984
dc.subject	Data Model	en
dc.subject	Query Language	en
dc.subject	Query Translation	en
dc.subject	semistructured data	en
dc.subject	Context Dependent	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.title	Implementing a query language for context-dependent semistructured data	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/978-3-540-30204-9_12	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-30204-9_12	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	In today's global environment, the structure and presentation of information may depend on the underlying context of the user. To address this issue, in previous work we have proposed multidimensional sem.isiructu.red data (MSSD), where an information entity can have alternative variants, or facets, each holding under some world, and MOEM, a data model suitable for representing MSSD. In this paper we briefly present MQL, a query language for MSSD that supports context-driven queries, and we attempt to motivate the direct use of context in data models and query languages by comparing MOEM and MQL with equivalent, context-unaware forms of representing and querying information. Specifically, we implemented an evaluation process for MQL during which MQL queries are translated to equivalent Lorel queries, and MOEM databases are transformed to corresponding OEM databases. The comparison between the two query languages and data models demonstrates the benefits of treating context as first-class citizen. We illustrate this query translation process using a cross-world MQL query, which has no direct counterpart in contextunaware query languages and data models. © Springer-Verlag Berlin Heidelberg 2004.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/978-3-540-30204-9_12	en
dc.identifier.isi	ISI:000224379300012	en
dc.identifier.volume	3255	en
dc.identifier.spage	173	en
dc.identifier.epage	188	en