GPS Trajectory Linked Open Data based on Open POI Information- Through an Experiment in ISWC2016-

نویسندگان

  • Kouji Kozaki
  • Teruaki Yokoyama
  • Yoshiaki Fukami
چکیده

We tried an experiment in ISWC 2016, Kobe, as a practical example of data integration of sensor data through IoT devices and semantic information. We provided small GPS devices to some volunteers from participants of ISWC 2016 and collected trajectory data during the conference. Then, we integrated the data with Points of Interest (POI) information collected through existing open data such as open government data by Kobe city, DBpedia and Wikidata. This paper presents the method to integrate GPS trajectory data and existing open data with consideration on usefulness of them as sources of POI information for practical analysis.

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تاریخ انتشار 2017