Lightweight transformation of tabular open data to RDF
作者： Laurens De Vocht , Davy Van Deursen , Miel Vander Sande , Rik Van de Walle , Erik Mannens
DOI:
关键词:
摘要: Currently, most Open Government Data portals mainly offer data in tabular formats. These lack the benefits of Linked Data, expressed RDF graphs. In this paper, we propose a fast and simple semi-automatic tabular-to-RDF mapping approach. We introduce an efficient transformation algorithm for finding optimal relations between columns based on ontology information. deal with multilingual diversity sets by combining translators thesauri to create context. Finally, use string lexical matching approaches learning loop ensure high performance good precision.
参考文章(2)
Andrew Krizhanovsky, Feiyu Lin, Multilingual ontology matching based on Wiktionary data accessible via SPARQL endpoint russian conference on digital libraries. pp. 1- 8 ,(2011)
Jose Luis Ambite, Pedro Szekely, Maria Muslea, Craig A. Knoblock, Parag Mallick, Aman Goel, Kristina Lerman, Shubham Gupta, Interactively mapping data sources into the semantic web LISC'11 Proceedings of the First International Conference on Linked Science - Volume 783. pp. 13- 24 ,(2011)