Link++: Adaptive Linking of Multiple Transportation Networks

نویسندگان

  • Ali Masri
  • Karine Zeitouni
  • Zoubida Kedad
چکیده

The integration of heterogeneous transportation data and services is essential towards enabling multimodality. Many new services are emerging and gaining a lot of popularity but are still isolated from multimodal solutions such as ridesharing, bike sharing. These services tend to publish their data according to the principles of linked open data in order to allow this integration. However, existing data interlinking tools are not suitable to discover and create transportation connections. The discovery of transportation connections is dependent on the timetable and geospatial information of the entities. In addition, the representation of the connection needs to be rich enough to provide the required information for further processing. In this paper, we introduce Link++, a customizable interlinking tool that enables detection and generation of customized semantic connections between transportation datasets.

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تاریخ انتشار 2017