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[HTML][HTML] A review of geospatial semantic information modeling and elicitation approaches
The present paper provides a review of two research topics that are central to geospatial
semantics: information modeling and elicitation. The first topic deals with the development of …
semantics: information modeling and elicitation. The first topic deals with the development of …
MASTER: A multiple aspect view on trajectories
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 …
stops and moves. However, with the explosion of the Internet of Things and the flood of big …
Semantictraj: A new approach to interacting with massive taxi trajectories
Massive taxi trajectory data is exploited for knowledge discovery in transportation and urban
planning. Existing tools typically require users to select and brush geospatial regions on a …
planning. Existing tools typically require users to select and brush geospatial regions on a …
An associative engines based approach supporting collaborative analytics in the internet of cultural things
In this paper we illustrate an integrated approach combining Business Intelligence, Big Data
and Internet of Things (IoT), which is applied to information resources including structured …
and Internet of Things (IoT), which is applied to information resources including structured …
A survey on big data for trajectory analytics
D Ribeiro de Almeida, C de Souza Baptista… - … International Journal of …, 2020 - mdpi.com
Trajectory data allow the study of the behavior of moving objects, from humans to animals.
Wireless communication, mobile devices, and technologies such as Global Positioning …
Wireless communication, mobile devices, and technologies such as Global Positioning …
Unsupervised online detection and prediction of outliers in streams of sensor data
N Reunanen, T Räty, JJ Jokinen, T Hoyt… - International Journal of …, 2020 - Springer
Outliers are unexpected observations, which deviate from the majority of observations.
Outlier detection and prediction are challenging tasks, because outliers are rare by …
Outlier detection and prediction are challenging tasks, because outliers are rare by …
Analytic: An active learning system for trajectory classification
The increasing availability and use of positioning devices has resulted in large volumes of
trajectory data. However, semantic annotations for such data are typically added by domain …
trajectory data. However, semantic annotations for such data are typically added by domain …
Visualizing intrusions in dynamic building environments for worker safety
A review of the existing literature suggests that intrusions on sites are often overlooked as
current construction safety assessment methods are primarily focused on visible …
current construction safety assessment methods are primarily focused on visible …
FrameSTEP: A framework for annotating semantic trajectories based on episodes
We are witnessing an increasing usage of location data by a variety of applications.
Consequently, information systems are required to deal with large datasets containing raw …
Consequently, information systems are required to deal with large datasets containing raw …
Semantic enrichment of spatio-temporal trajectories for worker safety on construction sites
Thousands of fatalities are reported from the construction industry every year and a high
percentage of them are due to the unsafe worker movements which resulted in falling from …
percentage of them are due to the unsafe worker movements which resulted in falling from …