Semantic trajectory analytics and personalised recommender systems that enhance user
experience are modern research topics that are increasingly getting attention. Semantic …

This study aims to identify current approaches in the usage of Artificial Intelligence (AI)
methods for solving shipping problems. Recent advances in AI are being examined, and the …

Recognizing ship behavior is important for maritime situation awareness and intelligent
transportation management. Some scholars extracted ship behaviors from massive …

Information deluge is still an issue in the maritime environment, creating situations where
data are sometimes underutilized or in more extreme cases, not utilized, in the decision …

In this paper we model spatio-temporal data describing the fishing activities in the Northern
Adriatic Sea over four years. We build, implement and analyze a database based on the …

In the current era of big spatial data, the vast amount of produced mobility data (by sensors,
GPS-equipped devices, surveillance networks, radars, etc.) poses new challenges related to …

Recent studies on maritime traffic model the interplay between vessels and ports as a graph,
which is often built using automatic identification system (AIS) data. However, only a few …

We present a big data framework for the prediction of streaming trajectory data, enriched
from other data sources and exploiting mined patterns of trajectories, allowing accurate long …

The process of computing a representative trajectory for a set of raw (or even semantically
enriched) trajectories is an attractive solution to minimize several challenges related to …

This concept paper presents our viewpoint regarding the exploitation of cutting-edge
technologies for the delivery of smart tourism cultural tours. Specifically, the paper reports …