MASTER: A multiple aspect view on trajectories

Abstract

For many years trajectory data have been treated as sequences of space-time points or stops and moves. However, with the explosion of the Internet of Things and the flood of big data generated on the Internet, such as weather chan-

A Survey on Big Data for Trajectory Analytics

“…The MASTER project [33] presents a new approach for trajectories semantic enrichment with different aspects that go beyond the 5W1H model. Aspect is a fact of the real world relevant for trajectory data analysis.…”

“…Azure and Redi Galić [43] 2016 D Flink Soares et al [45] 2017 D Solr Zhang et al [46] 2017 D Spark Alarabi et al [47] 2018 D Hadoop+HDFS Dividino et al [48] 2018 D Apache Jena Nikitopoulos et al [49] 2018 D Spark+Redis Soares et al [50] 2019 D MongoDB Mello et al [33] 2019 D Rendezvous Table 2 shows some systems that use spatial databases such as PostgreSQL, together with the spatial expansion Postgis, and Oracle. More recent works have adopted Big Data technologies, as this is the new trend because of the large volume of trajectory data that is produced by sensors and social media.…”

“…Other works use a semi-structured data model, especially when it should represent the semantic information of the trajectory. Modeling trajectory data using RDF graphs or ontologies has gained strength as new works on semantic trajectories enrichment have emerged [33,49]. Representing semantic trajectory data using RDF enables not only inferring new knowledge, but also the publication of data as Linked Open Data (LOD), making it accessible on the Semantic Web.…”

“…Representing semantic trajectory data using RDF enables not only inferring new knowledge, but also the publication of data as Linked Open Data (LOD), making it accessible on the Semantic Web. For example, the MASTER [33] project uses a database called Rendezvous [69] that stores graphs in the RDF format and intends to make its data available on the Semantic Web. Rendezvous is a triplestore [70] based on an NoSQL distributed database that stores data in an RDF format.…”

On Preserving Sensitive Information of Multiple Aspect Trajectories In-House

“…home, cinema, work, etc.). Recently an even more advanced notion of multiple aspects trajectories [7] further enriches this kind of data with information coming from any kind of sensing devices (e.g. weather data, measurements from health apps, etc.…”