Name
Abstract | ||
|---|---|---|
The increasing availability of positioning data fostered a number of new applications where the knowledge about mobility patterns is essential. However, the research conducted so far on mobility analysis focused on the geometric aspect at the expenses of the semantics of the movement. In this paper, we offer a new vision of semantic trajectory data warehouse that combines the pure geometrical features in terms of temporal and geographical coordinates with more semantic-related contextual information such as the goal of the movement and the transportation means of the moving object, or the activity performed by the moving entity. The conceptual model proposed is called SWOT and is capable of combining these aspects, thus providing a considerable improvement in answering semantic enriched mobility queries. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1145/2811222.2811232 | International Workshop on Data Warehousing and OLAP |
Field | DocType | Citations |
Data warehouse,Data science,Data mining,Contextual information,Conceptual model,SWOT analysis,Computer science,Geographic coordinate system,Mobility analysis,Semantics,Database,Semantic computing | Conference | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Carolina Torres da Silva | 1 | 0 | 0.34 |
| Valéria Cesário Times | 2 | 182 | 27.52 |
| José Antônio Fernandes de Macêdo | 3 | 465 | 51.40 |
| Chiara Renso | 4 | 925 | 76.04 |