Where big data meets linked data: Applying standard data models to environmental data streams

Leadbetter, Adam; Smyth, Damian; Fuller, Robert C.; O’Grady, Eoin; Shepherd, Adam

doi:10.1109/bigdata.2016.7840943

Cited by 11 publications

(5 citation statements)

References 11 publications

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“…Alternative approaches exist to reduce coding volume. An example of mapping messages from the widely used publish/subscribe messaging protocol Message Queuing Telemetry Transport (MQTT) directly into JavaScript Object Notation for Linked Data (JSON-LD) (https://github.com/w3c/json-ldsyntax) with Grok patterns through the Logstash processing pipeline (https://www.elastic.co/products/ logstash) is shown in [132].…”

Section: Service and Application Support Layer (Middleware)mentioning

confidence: 99%

A Review of Semantic Sensor Technologies in Internet of Things Architectures

Honti

Abonyi

2019

Complexity

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Intelligent sensors should be seamlessly, securely, and trustworthy interconnected to enable automated high-level smart applications. Semantic metadata can provide contextual information to support the accessibility of these features, making it easier for machines and humans to process the sensory data and achieve interoperability. The unique overview of sensor ontologies according to the semantic needs of the layers of IoT solutions can serve a guideline of engineers and researchers interested in the development of intelligent sensor-based solutions. The explored trends show that ontologies will play an even more essential role in interlinked IoT systems as interoperability and the generation of controlled linkable data sources should be based on semantically enriched sensory data.

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Section: Service and Application Support Layer (Middleware)mentioning

confidence: 99%

A Review of Semantic Sensor Technologies in Internet of Things Architectures

Honti

Abonyi

2019

Complexity

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“…e US Centers for Disease Control and Prevention can monitor new influenza epidemics through a monitoring network setup across the United States, but this data has a one-to two-week delay. In 2009, a study published by Google engineers in Nature found that Google's flu trends obtained through online search records and public health data released 1-2 weeks later are highly consistent, faster, and more economical [2]. Big data has changed our traditional thinking in many fields, such as scientific research, business, and government management.…”

Section: Introductionmentioning

confidence: 99%

Application of Artificial Intelligence Wearable Technology in the Big Data Analysis of Physical Activity in China

Cui

Zhi-qiang

2021

Mobile Information Systems

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Although the validity of the physical activity questionnaire is low, the questionnaire is still the most commonly used measurement tool for physical activity research in China in the past 10 years. In the era of big data, research in the field of physical activity in China needs to be more effective, economical, convenient, and suitable for long-term, large-sample research tools. Acceleration detection technology, heart rate detection technology, and GPS technology are the mainstream technologies for measuring the energy consumption of physical activity in wearable devices. The application of data mining and machine learning methods further enhances the validity of the test. Domestic smart wearable devices are not effective in estimating energy consumption but still have a large space for technical improvement. Smart wearable devices have a very broad application prospect in the field of big data research in physical activity. The impact of smart wearable device technology and big data analysis methods on physical activity research will be far-reaching and may lead to major changes in research concepts, research tools, and data analysis methods.

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“…Aguzzi et al present a hierarchic marine information treatment from sensor control and data acquisition to automated data processing and ecological indicator computing [24]. Leadbetter et al designed a streaming data system for the sensor control and data acquisition of Galway Bay cable observatory, enabled by microservices with exposed HTTP interfaces [25]. Rodero et al employed the uFrame software framework to design the OOI cyberinfrastructure, which integrates instruments, platform drivers, datasets, and algorithms to produce data products on demand [26].…”

Section: Introductionmentioning

confidence: 99%

An Object Model for Seafloor Observatory Sensor Control in the East China Sea

2020

JMSE

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Seafloor observatories enable long-term, real-time, and continuous observation that marks a new way for oceanographic measurements. In terms of seafloor observatory research, sensor control is a key issue for the stable and effective operations of functional observatories. In this paper, an object model is proposed to standardize seafloor observatory sensor control and data acquisition. The object model is conceptionally designed as a set of sensor resource objects, based on the attributes and operations of which a client–server sensor control architecture is enabled for bidirectional information flow of control commands and observation data. The object model-based architecture is implemented with a prototype control system for plug-and-play enablement. The prototype system was put into a series of tests before applied to the East China Sea Experimental Seafloor Observatory, performing consistently with all the project requirements. Given the successful experiment, the object model design and prototype implementation are feasible to resolve seafloor observatory sensor control and beneficial for ocean observatory sciences.

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Where big data meets linked data: Applying standard data models to environmental data streams

Cited by 11 publications

References 11 publications

A Review of Semantic Sensor Technologies in Internet of Things Architectures

A Review of Semantic Sensor Technologies in Internet of Things Architectures

Application of Artificial Intelligence Wearable Technology in the Big Data Analysis of Physical Activity in China

An Object Model for Seafloor Observatory Sensor Control in the East China Sea

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