MANTRA: Semantic Mobility Knowledge Analytics Framework for Trajectory Annotation

被引：1

作者：

Ghosh, Shreya ^{[1
]}

Ghosh, Soumya K. ^{[2
]}

机构：

[1] Penn State Univ, University Pk, PA 16802 USA

[2] Indian Inst Technol Kharagpur, Kharagpur, W Bengal, India

来源：

IEEE INFOCOM 2022 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS) | 2022年

关键词：

D O I：

10.1109/INFOCOMWKSHPS54753.2022.9798341

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Extracting semantic information from trajectory traces (timestamped location information) is a challenging task as conventional information retrieval techniques fail to detect the underlying interpretations of movement history. This work proposes a semantic mobility analytics framework named MANTRA to automatically annotate the trajectories with trip-intent and trip-purposes.

引用

页数：2

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