Review on semantic modeling and simulation of cybersecurity and interoperability on the internet of underwater things

K Kotis, S Stavrinos, C Kalloniatis - Future Internet, 2022 - mdpi.com
As maritime and military missions become more and more complex and multifactorial over
the years, there has been a high interest in the research and development of (autonomous) …

[HTML][HTML] LinkClimate: An interoperable knowledge graph platform for climate data

J Wu, F Orlandi, D O'Sullivan, S Dev - Computers & Geosciences, 2022 - Elsevier
Climate science has become more ambitious in recent years as global awareness about the
environment has grown. To better understand climate, historical climate (eg archived …

Improving tourism analytics from climate data using knowledge graphs

J Wu, J Pierse, F Orlandi… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Climate change has been deemed to be one of the greatest challenges facing humans in
the 21st century, with extreme weather events taking place more regularly than before. While …

[HTML][HTML] A semantic web approach to uplift decentralized household energy data

J Wu, F Orlandi, T AlSkaif, D O'Sullivan… - Sustainable Energy, Grids …, 2022 - Elsevier
In a decentralized household energy system comprised of various devices such as home
appliances, electric vehicles, and solar panels, end-users are able to dig deeper into the …

Boosting climate analysis with semantically uplifted knowledge graphs

J Wu, F Orlandi, D O'Sullivan… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Nowadays, the fast expansion of heterogeneous climate data resources accessible on the
Internet has led to substantial data fragmentation on the web. For example, station-based …

Uplifting air quality data using knowledge graph

J Wu, F Orlandi, I Gollini, E Pisoni… - 2021 photonics & …, 2021 - ieeexplore.ieee.org
Air quality is one of the most important factors concerning the natural environment.
Nowadays, advanced ICT technologies, eg, sensors, allow to efficiently monitor air quality …

An interoperable open data portal for climate analysis

J Wu, H Chen, F Orlandi, YH Lee… - 2021 IEEE USNC …, 2021 - ieeexplore.ieee.org
This work proposes an open interoperable data portal that offers access to a Web-wide
climate domain knowledge graph created for Ireland and England's NOAA climate daily …

Ontology modeling for decentralized household energy systems

J Wu, F Orlandi, T AlSkaif… - … Conference on Smart …, 2021 - ieeexplore.ieee.org
In a decentralized household energy system consisting of various devices such as washing
machines, heat pumps, and solar panels, understanding the electric energy consumption …

Augmenting weather sensor data with remote knowledge graphs

J Wu, F Orlandi, MS Pathan… - IGARSS 2022-2022 …, 2022 - ieeexplore.ieee.org
The latest analytical models are becoming frequently used in meteorological science
research. For instance, machine learning and deep learning models are being trained for …

Efficient forecasting of precipitation using LSTM

MS Pathan, M Jain, YH Lee… - 2021 Photonics & …, 2021 - ieeexplore.ieee.org
Precipitation is one of those many critical elements of the hydrological cycle that has a direct
impact on human life in many aspects. An accurate and early detection of a future …