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NYC Foursquare Experiment

This folder contains everything related to the experiment using NYC Foursquare data from [1].

Folders structure

  • data_resources: auxiliary extra semantic data for the NYC Foursquare. Execute the notebook in this folder before pipeline.sh. Data was provided by authors of [2], and was previously generated using code from lucaspetry/trajectory-data.
  • pipeline.sh: script for building data using stsarm/scripts/build_data.py, mining rules using AMIE 3, and building metarules.
  • mining: mined rules and log.
  • cache: folder with owlready2's persistent ontology.
  • resources: folder with ontologies in triples format.
  • analyses: notebooks with data and rules analyses.

[1]: Dingqi Yang, Daqing Zhang, V. W. Zheng, and Zhiyong Yu, “Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 45, no. 1, pp. 129–142, Jan. 2015, doi: 10/gf4vf2.

[2]: L. M. Petry, C. A. Ferrero, L. O. Alvares, C. Renso, and V. Bogorny, “Towards semantic-aware multiple-aspect trajectory similarity measuring,” Transactions in GIS, Jun. 2019, doi: 10/gf4hzb.