SPARQL(读作“sparkle”,SPARQL协议和RDF查询语言的首字母缩写)是一种RDF查询语言,也就是说,它是一种语义查询语言,用于数据库检索和操作以资源描述框架(RDF)格式存储的数据。

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报告主题:Natural Language Interface to Knowledge Graph (our experience)

报告摘要:世界上大量的数据存储在关系数据库和知识图谱中。必须学习结构化查询语言(SQL)这样的编程语言,或者使用固定的查询表单来查询数据,即使是非常简单的查询。SQL和SPARQL分别是访问关系数据库和知识图谱最常用的接口。但是,这需要用户对查询语言、数据模式和数据库运行环境有很好的理解,这需要很长的训练时间,对于偶尔查询数据的用户来说是不现实的。在本教程中,我将介绍这一领域的研究进展,并讨论未来的研究方向。。

嘉宾简介:严锡峰(Xifeng Yan)是加州大学圣塔芭芭拉分校的副教授。他担任计算机科学Venkatesh Narayanamurti主席。他获得了博士学位。于2006年获得伊利诺伊大学香槟分校计算机科学博士学位。2006年至2008年,他是IBM TJ Watson研究中心的研究人员。他一直致力于信息网络中图形的建模,管理和挖掘,计算机系统,社交媒体和生物信息学。他的作品得到了广泛的引用,每个Google Scholar的引用次数超过9000,并且下载了数千次软件。他获得了NSF职业奖,IBM发明成就奖,ACM-SIGMOD论文亚军奖和IEEE ICDM十年最高影响力论文奖。

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The W3C Web Ontology Language (OWL) is a powerful knowledge representation formalism at the basis of many semantic-centric applications. Since its unrestricted usage makes reasoning undecidable already in case of very simple tasks, expressive yet decidable fragments have been identified. Among them, we focus on OWL 2 RL, which offers a rich variety of semantic constructors, apart from supporting all RDFS datatypes. Although popular Web resources - such as DBpedia - fall in OWL 2 RL, only a few systems have been designed and implemented for this fragment. None of them, however, fully satisfy all the following desiderata: (i) being freely available and regularly maintained; (ii) supporting query answering and SPARQL queries; (iii) properly applying the sameAs property without adopting the unique name assumption; (iv) dealing with concrete datatypes. To fill the gap, we present DaRLing, a freely available Datalog rewriter for OWL 2 RL ontological reasoning under SPARQL queries. In particular, we describe its architecture, the rewriting strategies it implements, and the result of an experimental evaluation that demonstrates its practical applicability. This paper is under consideration in Theory and Practice of Logic Programming (TPLP).

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The W3C Web Ontology Language (OWL) is a powerful knowledge representation formalism at the basis of many semantic-centric applications. Since its unrestricted usage makes reasoning undecidable already in case of very simple tasks, expressive yet decidable fragments have been identified. Among them, we focus on OWL 2 RL, which offers a rich variety of semantic constructors, apart from supporting all RDFS datatypes. Although popular Web resources - such as DBpedia - fall in OWL 2 RL, only a few systems have been designed and implemented for this fragment. None of them, however, fully satisfy all the following desiderata: (i) being freely available and regularly maintained; (ii) supporting query answering and SPARQL queries; (iii) properly applying the sameAs property without adopting the unique name assumption; (iv) dealing with concrete datatypes. To fill the gap, we present DaRLing, a freely available Datalog rewriter for OWL 2 RL ontological reasoning under SPARQL queries. In particular, we describe its architecture, the rewriting strategies it implements, and the result of an experimental evaluation that demonstrates its practical applicability. This paper is under consideration in Theory and Practice of Logic Programming (TPLP).

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