Poster – Paper 624
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 exiting open data with consideration on usefulness of them as sources of POI infor-mation for practical analysis.