Declarative RDF graph generation from heterogeneous (semi-) structured data: A systematic literature review

D Van Assche, T Delva, G Haesendonck… - Journal of Web …, 2023 - Elsevier
More and more data in various formats are integrated into knowledge graphs. However,
there is no overview of existing approaches for generating knowledge graphs from …

An IoT-based computational framework for healthcare monitoring in mobile environments

H Mora, D Gil, R Munoz Terol, J Azorín, J Szymanski - Sensors, 2017 - mdpi.com
The new Internet of Things paradigm allows for small devices with sensing, processing and
communication capabilities to be designed, which enable the development of sensors …

Explainable artificial intelligence for developing smart cities solutions

D Thakker, BK Mishra, A Abdullatif, S Mazumdar… - Smart Cities, 2020 - mdpi.com
Traditional Artificial Intelligence (AI) technologies used in developing smart cities solutions,
Machine Learning (ML) and recently Deep Learning (DL), rely more on utilising best …

A hydrological sensor web ontology based on the SSN ontology: A case study for a flood

C Wang, Z Chen, N Chen, W Wang - ISPRS International Journal of Geo …, 2017 - mdpi.com
Accompanying the continuous development of sensor network technology, sensors
worldwide are constantly producing observation data. However, the sensors and their data …

IoT in agriculture investigation on plant diseases and nutrient level using image analysis techniques

E Suganya, S Sountharrajan, SK Shandilya… - Internet of Things in …, 2019 - Elsevier
Smart farming based on recent Internet of Things (IoT) technologies is the most advanced
method to grow food cleanly while making it sustainable. This method applies modern …

[图书][B] Semantic integration of real-time heterogeneous data streams for ocean-related decision making

R Dividino, A Soares, S Matwin, AW Isenor, S Webb… - 2018 - sto.nato.int
Information deluge is a continual issue in today's military environment, creating situations
where data is sometimes underutilized or in more extreme cases, not utilized, for the …

[PDF][PDF] The Semantic Sensor Network Ontology, Revamped.

K Taylor, A Haller, M Lefrançois, SJD Cox, K Janowicz… - JT@ ISWC, 2019 - ceur-ws.org
The Semantic Sensor Network Ontology, popularly known as SSN, was developed by an
Incubator Group of the World Wide Web Consortium (W3C) over 2009 to 2011 …

Coap-based collaborative sensor networks in the semantic web of things

M Ruta, F Scioscia, A Pinto, F Gramegna, S Ieva… - Journal of Ambient …, 2019 - Springer
Abstract The Semantic Web of Things (SWoT) integrates knowledge representation and
reasoning techniques originally devised for the Semantic Web into Internet of Things …

An Ontology‐Based Framework for Integrating Remote Sensing Imagery, Image Products, and In Situ Observations

C Wang, X Zhuo, P Li, N Chen, W Wang… - Journal of …, 2020 - Wiley Online Library
Along with the rapid development of remote sensing satellites and sensor network
technology, vast amounts of remote sensing imagery and in situ observations have been …

An associative memory approach to healthcare monitoring and decision making

M Aldape-Pérez, A Alarcón-Paredes… - Sensors, 2018 - mdpi.com
The rapid proliferation of connectivity, availability of ubiquitous computing, miniaturization of
sensors and communication technology, have changed healthcare in all its areas, creating …