How to create and use a national cross-domain ontology and data infrastructure on the Semantic Web

IF 3 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Semantic Web Pub Date : 2024-02-23 DOI:10.3233/sw-243468

E. Hyvönen

引用次数: 0

Abstract

This paper presents a model and lessons learned for creating a cross-domain national ontology and Linked (Open) Data (LOD) infrastructure. The idea is to extend the global, domain agnostic “layer cake model” underlying the Semantic Web with domain specific and local features needed in applications. To test and demonstrate the infrastructure, a series of LOD services and portals in use have been created in 2002–2023 that cover a wide range of application domains. They have attracted millions of users in total suggesting feasibility of the proposed model. This line of research and development is unique due to its systematic national level nature and long time span of over twenty years.

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如何在语义网上创建和使用国家跨领域本体论和数据基础设施

本文介绍了创建跨领域国家本体和关联（开放）数据（LOD）基础设施的模式和经验教训。我们的想法是将语义网所依据的全球、领域无关的 "层蛋糕模型 "与应用中所需的特定领域和本地功能相结合。为了测试和展示该基础设施，2002-2023 年期间创建了一系列正在使用的 LOD 服务和门户网站，涵盖了广泛的应用领域。这些服务和门户网站共吸引了数百万用户，表明所建议的模式是可行的。由于其系统的国家级性质和长达二十多年的时间跨度，这一研究和开发路线是独一无二的。

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.