Building MD Analytical Stars Using a Visual Linked Data Query Builder

被引：0

作者：

Nebot, Victoria ^{[1
]}

Berlanga, Rafael ^{[1
]}

机构：

[1] Univ Jaume 1, Comp Languages & Syst, Campus Riu Sec S-N, Castellon de La Plana 12071, Spain

来源：

KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT, IC3K 2014 | 2015年 / 553卷

关键词：

Linked Data; RDF; Multidimensional models; Linked data querying; WEB;

D O I：

10.1007/978-3-319-25840-9_13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we present the foundations and a prototype tool for Linked Data (ld) analysis and visualization. The goal is to provide users with a tool enabling them to easily analyze Linked Data without knowledge of the SPARQL query language. The success of the multidimensional (md) model for data analysis has been mainly due to its simplicity. The md model views data in terms of dimensions and measures. Therefore, we propose the notion of md analytical stars as the foundation to query ld. These stars are md conceptual patterns that summarize ld (i.e., dimensions and measures). We have developed a tool that enables the user to graphically build md analytical stars as queries by suggesting possible dimensions and measures from a ld set. The query is automatically translated to SPARQL and executed. Visualization of results as charts, tables, etc. is performed using web-based technologies. We show the prototype tool and a running example.

引用

页码：198 / 211

页数：14

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