Name
Abstract | ||
|---|---|---|
This paper proposes a method for structuring and semantically enriching the personal data collected from smart phones. In order to structure the data, a set of locational data is analyzed 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 semantically enriched. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2837060.2837109 | Proceedings of the 2015 International Conference on Big Data Applications and Services |
DocType | ISBN | Citations |
Conference | 978-1-4503-3846-2 | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seung-Ik Lee | 1 | 92 | 19.76 |
| Seung-Woog Jung | 2 | 2 | 1.08 |
| Suyoung Chi | 3 | 57 | 12.88 |