Linked Open Science-Communicating, Sharing and Evaluating Data, Methods and Results for Executable Papers

被引：18

作者：

Kauppinen, Tomi ^{[1
]}

de Espindola, Giovana Mira ^{[2
]}

机构：

[1] Univ Munster, Inst Geoinformat Ifgi, Munster, Germany

[2] INPE, Sao Jose Dos Campos, Brazil

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS) | 2011年 / 4卷

关键词：

Academic publishing; Computation; Web of Data; Linked Data; Semantic Web; Open Source; R-project; Cloud Computing; Creative Commons; The Brazilian Amazon Rainforest;

D O I：

10.1016/j.procs.2011.04.076

中图分类号：

TP301 [理论、方法];

学科分类号：

080201 [机械制造及其自动化];

摘要：

Linked Open Science is an approach to solve challenges of an executable paper. It is a combination of four "silver bullets": 1) publication of scientific data, metadata, results, and provenance information using Linked Data principles, 2) open source and web-based environments for executing, validating and exploring research, 3) Cloud Computing for efficient and distributed computing, and 4) Creative Commons for the legal infrastructure. We will use a realistic scientific research setting related to research on deforestation of the Brazilian Amazon rainforest to provide scenarios to illustrate the application of Linked Open Science.

引用

页码：726 / 731

页数：6

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