FrameSTEP: A framework for annotating semantic trajectories based on episodes

作者：

Highlights：

• A high-level data model for representing trajectory episodes and context is proposed.

• Spatial and temporal extents as well as granularity levels can be easily expressed.

• Quantitative and qualitative semantic descriptions can be used to annotate episodes.

• A framework for trajectory annotation shows how the model can be instantiated.

• A spatial annotation method that uses OpenStreetMap data is shown.

摘要

•A high-level data model for representing trajectory episodes and context is proposed.•Spatial and temporal extents as well as granularity levels can be easily expressed.•Quantitative and qualitative semantic descriptions can be used to annotate episodes.•A framework for trajectory annotation shows how the model can be instantiated.•A spatial annotation method that uses OpenStreetMap data is shown.

论文关键词：Trajectory modeling,Semantic web,Trajectory annotation

论文评审过程：Received 14 May 2017, Revised 1 October 2017, Accepted 2 October 2017, Available online 3 October 2017, Version of Record 10 October 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.10.004