LinkedPipes ETL: Evolved Linked Data Preparation

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• 关键词：Linked Data ; RDF ; ETL ; Transformation
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9989
• 期：1
• 页码：95-100
• 全文大小：374 KB
• 参考文献：1.Knap, T., Škoda, P., Klímek, J., Nečaký, M.: UnifiedViews: towards ETL tool for simple yet powerfull RDF data management. In: Proceedings of the Dateso 2015 Annual International Workshop on DAtabases, TExts, Specifications and Objects, Nepřívěc u Sobotky, Jičín, Czech Republic, 14 April 2015, pp. 111–120 (2015)
  2.Thellmann, K., Orlandi, F., Auer, S.: LinDA - visualising and exploring linked data. In: Proceedings of the Posters and Demos Track of 10th International Conference on Semantic Systems - SEMANTiCS 2014, Leipzig, 9 (2014)
  
• 作者单位：Jakub Klímek (19) (20) (21)
  Petr Škoda (19) (20)
  Martin Nečaský (19)
  
  19. Faculty of Mathematics and Physics, Charles University in Prague, Malostranské nám. 25, 118 00, Praha 1, Czech Republic
  20. University of Economics, Prague, Nám. W. Churchilla 4, 130 67, Praha 3, Czech Republic
  21. Faculty of Information Technology, Czech Technical University in Prague, Thákurova 9, 160 00, Praha 6, Czech Republic
  
• 丛书名：The Semantic Web
• ISBN：978-3-319-47602-5
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9989

文摘

As Linked Data gains traction, the proper support for its publication and consumption is more important than ever. Even though there is a multitude of tools for preparation of Linked Data, they are still either quite limited, difficult to use or not compliant with recent W3C Recommendations. In this demonstration paper, we present LinkedPipes ETL, a lightweight, Linked Data preparation tool. It is focused mainly on smooth user experience including mobile devices, ease of integration based on full API coverage and universal usage thanks to its library of components. We build on our experience gained by development and use of UnifiedViews, our previous Linked Data ETL tool, and present four use cases in which our new tool excels in comparison.