Linkitup: Semantic Publishing of Research Data

被引：2

作者：

Hoekstra, Rinke ^{[1
,2
]}

Groth, Paul ^{[1
]}

Charlaganov, Marat ^{[1
]}

机构：

[1] Vrije Univ Amsterdam, Network Inst, Amsterdam, Netherlands

[2] Univ Amsterdam, Fac Law, Amsterdam, Netherlands

来源：

SEMANTIC WEB EVALUATION CHALLENGE | 2014年 / 475卷

关键词：

SCIENCE; WEB;

D O I：

10.1007/978-3-319-12024-9_12

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Linkitup is a Web-based dashboard for enrichment of research output published via industry grade data repository services. It takes metadata entered through Figshare.com and tries to find equivalent terms, categories, persons or entities on the Linked Data cloud and several Web 2.0 services. It extracts references from publications, and tries to find the corresponding DigitalObject Identifier (DOI). Linkitup feeds the enriched metadata back as links to the original article in the repository, but also builds a RDF representation of the metadata that can be downloaded separately, or published as research output in its own right. In this paper, we compare Linkitup to the standard workflow of publishing linked data, and show that it significantly lowers the threshold for publishing linked research data.

引用

页码：95 / 100

页数：6

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