When It Comes to Querying Semantic Cultural Heritage Data

被引：4

作者：

Markhoff, Beatrice ^{[1
]}

Nguyen, Thanh Binh ^{[2
]}

Niang, Cheikh ^{[3
]}

机构：

[1] Univ Francois Rabelais Tours, Lab Informat, Tours, France

[2] Univ Orleans, LIFO, INSA CVL, Orleans, France

[3] Agence Univ Francophonie, Paris, France

来源：

NEW TRENDS IN DATABASES AND INFORMATION SYSTEMS, ADBIS 2017 | 2017年 / 767卷

关键词：

Semantic web; Querying; SPARQL endpoint; Federatedquery system; Ontology-Based Data Integration; Cultural Heritage; DATA INTEGRATION;

D O I：

10.1007/978-3-319-67162-8_38

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As more and more cultural institutions publish their data using the web-of-data semantic level, there is a need for novel applications for exploring, analyzing, mining and visualizing such data. A first step for these applications is to be able to query the linked open data. In this paper we survey the different existing systems for this purpose, providing examples from our experiences in the Cultural Heritage domain, and discussing some possible mutual enrichment between some of them.

引用

页码：384 / 394

页数：11

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