@inproceedings{50e21895afe04553b761bfe5729b7450,
title = "Searching for data sources for the semantic enrichment of trajectories",
abstract = "The fast growing number of datasets available on the Web inspired researchers to propose innovative techniques to combine spatiotemporal data with contextual data. However, as the number of datasets has increased relatively fast, finding the most appropriate datasets for enrichment also became extremely difficult. This paper proposes an innovative approach to rank a set of datasets according to the likelihood that they contain relevant enrichments. The approach is based on the intuition that the sequence of places visited during a trajectory can induce the best datasets to enrich the trajectory. It relies on a supervised approach to learn rules of association between visited places and meaningful datasets.",
keywords = "Movement data, Semantic enrichment, Trajectories",
author = "Leme, {Luiz Andr{\'e} P.Paes} and Chiara Renso and Nunes, {Bernardo P.} and Lopes, {Giseli Rabello} and Casanova, {Marco A.} and Vidal, {V{\^a}nia P.}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 17th International Conference on Web Information Systems Engineering, WISE 2016 ; Conference date: 08-11-2016 Through 10-11-2016",
year = "2016",
doi = "10.1007/978-3-319-48743-4_19",
language = "English",
isbn = "9783319487427",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "238--246",
editor = "Jianmin Wang and Mokbel, {Mohamed F.} and Hua Wang and Rui Zhou and Yanchun Zhang and Wojciech Cellary",
booktitle = "Web Information Systems Engineering – WISE 2016 - 17th International Conference, Proceedings",
address = "Germany",
}