2015•Unpublished venueRequires access

A System for Querying RDF Data Using LINQ

Kazumasa Kumamoto, Toshiyuki Amagasa, Hiroyuki Kitagawa

Open publisher page 4 citations

Abstract

Linked Open Data (LOD) is a principle to publish machine readable data on the Web, and has been gaining growing attention owing to the recent upsurge of open data movement. For this reason, there are strong demands to develop applications that utilize LOD. To develop such an application, developers need to use SPARQL, a query language for RDF data, to access LOD, but there are several barriers: 1) to write an appropriate query, one needs to know the precise graph structure of RDF data being queried, although the graph structure of LOD datasets is in many cases very complicated and therefore hard to learn, and 2) it is hard for many users to learn SPARQL. To cope with this problem, in this paper, we propose a system for users to be able to query RDF data without learning SPARQL. Instead, we introduce JSON-style view on top of SPARQL endpoints. Having defined JSON-style views, ordinary users can issue queries against the views using LINQ, a structured query language similar to SQL. The system translates LINQ queries to corresponding SPARQL queries according to the view definition, and send the translated query to the SPARQL endpoint. The resulting data returned by SPARQL endpoints are processed and returned back to the user. We conduct experiments to show the feasibility of the proposed system.

About this research paper

What this paper is about

Linked Open Data (LOD) is a principle to publish machine readable data on the Web, and has been gaining growing attention owing to the recent upsurge of open data movement. For this reason, there are strong demands to develop applications that utilize LOD. To develop such an application, developers need to use SPARQL, a query language for RDF data, to access LOD, but there are several barriers: 1) to write an appropriate query, one needs to know the precise graph structure of RDF data being queried, although the graph structure of LOD datasets is in many cases very complicated and therefore hard to learn, and 2) it is hard for many users to learn SPARQL. To cope with this problem, in this paper, we propose a system for users to be able to query RDF data without learning SPARQL. Instead, we introduce JSON-style view on top of SPARQL endpoints. Having defined JSON-style views, ordinary users can issue queries against the views using LINQ, a structured query language similar to SQL. The system translates LINQ queries to corresponding SPARQL queries according to the view definition, and send the translated query to the SPARQL endpoint. The resulting data returned by SPARQL endpoints are processed and returned back to the user. We conduct experiments to show the feasibility of the proposed system.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Linked Open Data (LOD) is a principle to publish machine readable data on the Web, and has been gaining growing attention owing to the recent upsurge of open data movement. For this reason, there are strong demands to develop applications that utilize LOD. To develop such an application, developers need to use SPARQL, a query language for RDF data, to access LOD, but there are several barriers: 1) to write an appropriate query, one needs to know the precise graph structure of RDF data being queried, although the graph structure of LOD datasets is in many cases very complicated and therefore hard to learn, and 2) it is hard for many users to learn SPARQL. To cope with this problem, in this paper, we propose a system for users to be able to query RDF data without learning SPARQL. Instead, we introduce JSON-style view on top of SPARQL endpoints. Having defined JSON-style views, ordinary users can issue queries against the views using LINQ, a structured query language similar to SQL. The system translates LINQ queries to corresponding SPARQL queries according to the view definition, and send the translated query to the SPARQL endpoint. The resulting data returned by SPARQL endpoints are processed and returned back to the user. We conduct experiments to show the feasibility of the proposed system.

Key concepts: SPARQL, Computer science, JSON, RDF, Linked data, RDF query language, Language Integrated Query, SQL

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