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Open AccessArticle

An Automatic Matcher and Linker for Transportation Datasets

1,2,*,†, 2,†, 2,† and 1
VEDECOM Institute, 77 Rue des Chantiers, 78000 Versailles, France
DAVID Laboratory, University of Versailles Saint Quentin-En-Yvelines, 78000 Versailles, France
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editors: E. Lynn Usery, Dalia Varanka and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2017, 6(1), 29;
Received: 29 September 2016 / Revised: 12 January 2017 / Accepted: 15 January 2017 / Published: 22 January 2017
(This article belongs to the Special Issue Geospatial Semantics and Semantic Web)
PDF [1304 KB, uploaded 22 January 2017]


Multimodality requires the integration of heterogeneous transportation data to construct a broad view of the transportation network. Many new transportation services are emerging while being isolated from previously-existing networks. This leads them to publish their data sources to the web, according to linked data principles, in order to gain visibility. Our interest is to use these data to construct an extended transportation network that links these new services to existing ones. The main problems we tackle in this article fall in the categories of automatic schema matching and data interlinking. We propose an approach that uses web services as mediators to help in automatically detecting geospatial properties and mapping them between two different schemas. On the other hand, we propose a new interlinking approach that enables the user to define rich semantic links between datasets in a flexible and customizable way. View Full-Text
Keywords: transportation data; data interlinking; automatic schema matching transportation data; data interlinking; automatic schema matching

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Masri, A.; Zeitouni, K.; Kedad, Z.; Leroy, B. An Automatic Matcher and Linker for Transportation Datasets. ISPRS Int. J. Geo-Inf. 2017, 6, 29.

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