Title
Enriching Mobility Data with Linked Open Data.
Abstract
Recent research has pointed out the needs and advantages of the semantic enrichment of movement data, a process where trajectories are partitioned into homogeneous segments that are annotated with contextual information. However, the lack of a comprehensive and well-defined framework for the enrichment makes this process difficult and error-prone. In this paper, we therefore propose a conceptual framework for the semantic enrichment of movement data, which benefits from the emerging Web of Data (or Linked Open Data) both as a unifying formalism and as the source of contextual data, which can be greatly useful for trajectories enrichment. Moreover, the semantic structure of such sources makes it easier to share and process enriched trajectories. We illustrate the enrichment process by presenting a case study in the tourism domain.
Year
DOI
Venue
2016
10.1145/2938503.2938550
IDEAS '16: International Database Engineering & Applications Symposium Montreal QC Canada July, 2016
Field
DocType
ISBN
Data mining,Contextual information,Homogeneous,Computer science,Contextual design,Tourism,Linked data,Semantic Web,Formalism (philosophy),Conceptual framework,Database
Conference
978-1-4503-4118-9
Citations 
PageRank 
References 
5
0.45
16
Authors
5
Name
Order
Citations
PageRank
Lívia Ruback1101.93
Marco Antonio Casanova217824.18
Alessandra Raffaetà318716.45
Chiara Renso492576.04
Vânia Maria P. Vidal5202.07