Link++: A Flexible and Customizable Tool for Connecting RDF Data Sources

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• 关键词：Linked open data ; Data interlinking ; Semantic web
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9989
• 期：1
• 页码：107-111
• 全文大小：1,122 KB
• 参考文献：1.Jaffri, A., Glaser, H., Millard, I.C.: Managing URI synonymity to enable consistent reference on the semantic web. In: Proceedings of the Workshop on Identity, Reference, and the Web (IRSW) (2008)
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  3.Raimond, Y., Sutton, C., Sandler, M.B.: Automatic interlinking of music datasets on the semantic web. In: Linked Data on the Web, vol. 369 (2008)
  4.Scharffe, F., Atemezing, G., Troncy, R., Gandon, F., Villata, S., Bucher, B., Hamdi, F., Bihanic, L., Képéklian, G., Cotton, F., et al.: Enabling linked data publication with the datalift platform. In: Proceedings of AAAI Workshop on Semantic Cities (2012)
  5.Scharffe, F., Liu, Y., Zhou, C., Rdf-ai: an architecture for rdf datasets matching, fusion and interlink. In: Proceedings of IJCAI 2009 Workshop on Identity, Reference, and Knowledge Representation (IR-KR) (2009)
  6.Volz, J., Bizer, C., Gaedke, M., Kobilarov, G.: Silk-a link discovery framework for the web of data. In: Linked Data on the Web, vol. 538 (2009)
  
• 作者单位：Ali Masri (19) (20)
  Karine Zeitouni (19)
  Zoubida Kedad (19)
  Gabriel Kepeklian (20)
  
  19. DAVID Laboratory, University of Versailles Saint-Quentin-en-Yvelines, Versailles, France
  20. VEDECOM Institute, Versailles, France
  
• 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

Existing interlinking tools focus on finding similarity relationships between entities of distinct RDF datasets by generating owl:sameAs links. These approaches address the detection of equivalence relations between entities. However, in some contexts, more complex relations are required, and the links to be defined follow more sophisticated patterns. This paper introduces Link++, an approach that enables the discovery of complex links in a flexible manner. Link++ enables the users to generate rich links by specifying a link pattern as well as rules and functions to discover them. When visiting the demo, attendees will be introduced to all the aspects of the system explaining the required steps to define custom functions, connection patterns and linking rules until finally obtaining custom connections.