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MashQL: A query-by-diagram topping SPARQL towards semantic data mashups

  • Mustafa Jarrar*
  • , Marios D. Dikaiakos
  • *Corresponding author for this work
  • University of Cyprus

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This article is motivated by the importance of building web data mashups. Building on the remarkable success of Web 2.0 mashups, and specially Yahoo Pipes, we generalize the idea of mashups and regard the Internet as a database. Each internet data source is seen as a table, and a mashup is seen as a query on these tables. We assume that web data sources are represented in RDF, and SPARQL is the query language. We propose a query-by-diagram language called MashQL. The goal is to allow people to build data mashups diagrammatically. In the background, MashQL queries are translated into and executed as SPARQL queries. The novelty of MashQL is that it allows querying a data source without any prior understanding of the schema or the structure of this source. Users also do not need any knowledge about RDF/SPARQL to get started.

Original languageEnglish
Title of host publicationProc. of the 2nd International Workshop on Ontologies and Information Systems for the Semantic Web, ONISW'08, Co-located with the 17th ACM Conference on Information and Knowledge Management, CIKM'08
Pages89-96
Number of pages8
DOIs
Publication statusPublished - 30 Oct 2008
Externally publishedYes
Event2nd International Workshop on Ontologies and Information Systems for the Semantic Web, ONISW'08, Co-located with the 17th ACM Conference on Information and Knowledge Management, CIKM'08 - Napa Valley, CA, United States
Duration: 26 Oct 200830 Oct 2008

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Conference

Conference2nd International Workshop on Ontologies and Information Systems for the Semantic Web, ONISW'08, Co-located with the 17th ACM Conference on Information and Knowledge Management, CIKM'08
Country/TerritoryUnited States
CityNapa Valley, CA
Period26/10/0830/10/08

Keywords

  • Data web
  • Linked data
  • Mashups
  • Query pipelines
  • Query-by-diagram
  • RDF
  • Semantic web
  • SPARQL
  • Web 2.0
  • Web 3.0

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