LOD4Culture: Easy exploration of cultural heritage linked open data

IF 3 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Semantic Web Pub Date : 2023-06-15 DOI:10.3233/sw-233358

Guillermo Vega-Gorgojo

引用次数: 1

Abstract

LOD4Culture is a web application that exploits Cultural Heritage Linked Open Data for tourism and education purposes. Since target users are not fluid on Semantic Web technologies, the user interface is designed to hide the intricacies of RDF or SPARQL. An interactive map is provided for exploring world-wide Cultural Heritage sites that can be filtered by type and that uses cluster markers to adapt the view to different zoom levels. LOD4Culture also includes a Cultural Heritage entity browser that builds comprehensive visualizations of sites, artists, and artworks. All data exchanges are facilitated through the use of a generator of REST APIs over Linked Open Data that translates API calls into SPARQL queries across multiple sources, including Wikidata and DBpedia. Since March 2022, more than 1.7K users have employed LOD4Culture. The application has been mentioned many times in social media and has been featured in the DBpedia Newsletter, in the list of Wikidata tools for visualizing data, and in the open data applications list of datos.gob.es.

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LOD4Culture:轻松探索文化遗产链接开放数据

LOD4Culture是一个为旅游和教育目的开发文化遗产关联开放数据的网络应用程序。由于目标用户在语义Web技术上并不灵活，因此用户界面被设计为隐藏RDF或SPARQL的复杂性。提供了一个交互式地图，用于探索世界范围的文化遗产遗址，该地图可以按类型过滤，并使用集群标记来调整视图以适应不同的缩放级别。LOD4Culture还包括一个文化遗产实体浏览器，它可以构建网站、艺术家和艺术品的全面可视化。所有的数据交换都是通过使用Linked Open data上的REST API生成器来实现的，该生成器将API调用转换为跨多个源(包括Wikidata和DBpedia)的SPARQL查询。自2022年3月以来，已有超过1.7万用户使用LOD4Culture。该应用程序在社交媒体上被多次提及，并在DBpedia Newsletter、用于可视化数据的Wikidata工具列表和datos.gob.es的开放数据应用程序列表中都有介绍。

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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来源期刊

Semantic Web COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCEC-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

8.30

自引率

6.70%

发文量

期刊介绍： The journal Semantic Web – Interoperability, Usability, Applicability brings together researchers from various fields which share the vision and need for more effective and meaningful ways to share information across agents and services on the future internet and elsewhere. As such, Semantic Web technologies shall support the seamless integration of data, on-the-fly composition and interoperation of Web services, as well as more intuitive search engines. The semantics – or meaning – of information, however, cannot be defined without a context, which makes personalization, trust, and provenance core topics for Semantic Web research. New retrieval paradigms, user interfaces, and visualization techniques have to unleash the power of the Semantic Web and at the same time hide its complexity from the user. Based on this vision, the journal welcomes contributions ranging from theoretical and foundational research over methods and tools to descriptions of concrete ontologies and applications in all areas. We especially welcome papers which add a social, spatial, and temporal dimension to Semantic Web research, as well as application-oriented papers making use of formal semantics.