MashQL: a query-by-diagram topping SPARQL

Mustafa Jarrar, M. Dikaiakos
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引用次数: 37

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.
MashQL:超越SPARQL的按图查询
构建web数据mashup的重要性激发了本文的写作动机。在Web 2.0 mashup(特别是Yahoo Pipes)取得显著成功的基础上,我们推广了mashup的概念,并将Internet视为数据库。每个internet数据源都被视为一个表,mashup被视为对这些表的查询。我们假设web数据源用RDF表示,而SPARQL是查询语言。我们提出一种按图查询的语言,称为MashQL。目标是允许人们以图表方式构建数据混搭。在后台,MashQL查询被转换为SPARQL查询并作为SPARQL查询执行。MashQL的新颖之处在于,它允许在不事先了解该数据源的模式或结构的情况下查询数据源。用户也不需要任何关于RDF/SPARQL的知识就可以开始。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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