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Conference Paper Structuring Mobile User Context Based on Spatio-Temporal Information
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Authors
Seung-Ik Lee, Seungwoog Jung, Su-Young Chi
Issue Date
2015-10
Citation
International Conference on Big Data Applications and Services (BigDAS) 2015, pp.1-5
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1145/2837060.2837109
Abstract
This paper proposes a method for structuring and semanti- cally enriching the personal data collected from smart phones. In order to structure the data, a set of locational data is an- alyzed to determine whether it is a move or a stay, what we call episode. Then, the episodes are augmented by tagging place name, place category, start time, and end time if it is a stay and distance, mobility (walk, vehicle, and bi-cycle), start time, and end time if it is a move. Experiments shows that mobile users context are well-structured and semanti- cally enriched.
KSP Keywords
Data collected, Personal Data, Smart Phone, User Context, mobile users, spatio-temporal information