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 …
there is no overview of existing approaches for generating knowledge graphs from …
An IoT-based computational framework for healthcare monitoring in mobile environments
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 …
communication capabilities to be designed, which enable the development of sensors …
Explainable artificial intelligence for developing smart cities solutions
Traditional Artificial Intelligence (AI) technologies used in developing smart cities solutions,
Machine Learning (ML) and recently Deep Learning (DL), rely more on utilising best …
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 …
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 …
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
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 …
where data is sometimes underutilized or in more extreme cases, not utilized, for the …
[PDF][PDF] The Semantic Sensor Network Ontology, Revamped.
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 …
Incubator Group of the World Wide Web Consortium (W3C) over 2009 to 2011 …
Coap-based collaborative sensor networks in the semantic web of things
Abstract The Semantic Web of Things (SWoT) integrates knowledge representation and
reasoning techniques originally devised for the Semantic Web into Internet of Things …
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 …
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 …
sensors and communication technology, have changed healthcare in all its areas, creating …