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dc.contributor.authorJarrar, M.en
dc.contributor.authorDikaiakos, Marios D.en
dc.creatorJarrar, M.en
dc.creatorDikaiakos, Marios D.en
dc.description.abstractThis paper is motivated by the massively increasing structured data on the Web (Data Web), and the need for novel methods to exploit these data to their full potential. Building on the remarkable success of Web 2.0 mashups, this paper regards the internet as a database, where each web data source is seen as a table, and a mashup is seen as a query over these sources. We propose a data mashup language, which allows people to intuitively query and mash up structured and linked data on the web. Unlike existing query methods, the novelty of MashQL is that it allows people to navigate, query, and mash up a data source(s) without any prior knowledge about its schema, vocabulary, or technical details. We even do not assume even that a data source should an online or inline schema. Furthermore, MashQL supports query pipes as a built-in concept, rather than only a visualization of links between modules.en
dc.sourceCEUR Workshop Proceedingsen
dc.sourceWWW 2009 Workshop on Linked Data on the Web, LDOW 2009en
dc.subjectData handlingen
dc.subjectQuery processingen
dc.subjectNovel methodsen
dc.subjectPrior knowledgeen
dc.subjectStructured dataen
dc.subjectTechnical detailsen
dc.subjectData mash-upen
dc.subjectLinked datumen
dc.subjectQuery methodsen
dc.subjectWeb data sourcesen
dc.titleA data mashup language for the Data Weben
dc.description.volume538 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Conference code: 100976en
dc.description.notesCited By :3</p>en
dc.contributor.orcidDikaiakos, Marios D. [0000-0002-4350-6058]

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