Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/7905
Title: A Model for Enriching Trajectories with Semantic Geographical Information
Authors: ALVARES, Luis Otavio 
BOGORNY, Vania 
KUIJPERS, Bart 
Macedo, Jose Antonio Fernandez
MOELANS, Bart 
VAISMAN, Alejandro 
Issue Date: 2007
Publisher: ACM
Source: Schneider, Markus & Shahabi, Cyrus & Samet, Hanan (Ed.) Proceedings of the 15th ACM Symposium on Advances in Geographic Information Systems (ACM-GIS'07.
Abstract: The collection of moving ob ject data is becoming more and more common, and therefore there is an increasing need for the efficient analysis and knowledge extraction of these data in different application domains. Tra jectory data are normally available as sample points, and do not carry se- mantic information, which is of fundamental importance for the comprehension of these data. Therefore, the analysis of tra jectory data becomes expensive from a computational point of view and complex from a user’s perspective. En- riching tra jectories with semantic geographical information may simplify queries, analysis, and mining of moving ob- ject data. In this paper we propose a data preprocessing model to add semantic information to tra jectories in order to facilitate tra jectory data analysis in different application domains. The model is generic enough to represent the im- portant parts of tra jectories that are relevant to the appli- cation, not being restricted to one specific application. We present an algorithm to compute the important parts and show that the query complexity for the semantic analysis of tra jectories will be significantly reduced with the proposed model.
Document URI: http://hdl.handle.net/1942/7905
Link to publication: http://doi.acm.org/10.1145/1341012.1341041
ISBN: 978-1-59593-914-2
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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