PLAY: Semantics-Based Event Marketplace

Stühmer, Roland; Verginadis, Yiannis; Alshabani, Iyad; Morsellino, Thomas; Aversa, Antonio

doi:10.1007/978-3-642-40543-3_73

Cited by 7 publications

(6 citation statements)

References 17 publications

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“…The proposed sensor can easily communicate with Sigfox or LoRa network. Stühmer et al (2013) proposed a framework of modern technologies like IoT for the desalination of the water. The study explores the possibilities of the application of IoT to efficiently handle the desalination of water.…”

Section: Literature Reviewmentioning

confidence: 99%

Internet of things (IoT) assisted soil salinity mapping at irrigation schema level

et al. 2022

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Soil salinity accumulates a high concentration of salts in soils that interfere with normal plant growth. Early detection and quantification of soil salinity are essential to effectively deal with soil salinity in agriculture. Soil salinity quantification and mapping at the irrigation scheme level are vital to evaluating saline soil's reclamation activity. Existing solutions of salinity mapping are costly, time-consuming, and inadequate for applications at the irrigation scheme level. Internet of Things (IoT) assisted salinity mapping at the irrigation scheme level is proposed to quantify and map the soil salinity in agriculture. The proposed IoT-assisted salinity mapping characterizes the soil salinity in terms of Electric Conductivity, pH, and Total Dissolved Salts. The proposed IoT-assisted salinity mapping effectively observes impacts of reclamation activities in saline soil by frequent observation of soil salinity cost-effectively. The accuracy of proposed IoT-assisted salinity mapping is evaluated against the standard method of salinity measurements. The proposed IoT-assisted salinity mapping is cost-effective, and portable, which is very useful for site-specific treatments and soil zones management in saline soils.

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Section: Literature Reviewmentioning

confidence: 99%

Internet of things (IoT) assisted soil salinity mapping at irrigation schema level

et al. 2022

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“…traffic accident) and trigger actions to recover from such situations. PLAY [10] provides an event-driven middleware that is able to process complex event detection in large highly distributed and heterogeneous systems. PLAY architecture facilitates event-driven adaptive process management, which can automatically adapt after sensing the contextual information.…”

Section: Smart City Frameworkmentioning

confidence: 99%

“…To semantically annotate data streams, CityPulse uses lightweight information models that are developed on top of the well-known information models, such as SSN Ontology, PROV-O, 10 and OWL-S. 11 Figure 3 shows an overview of the CityPulse information models, which consists of 4 main modules, namely Stream Annotation Ontology (SAO), 12 Quality Ontology, 13 User Profiles, and Complex Event information. 14 SAO is used to express the temporal features (e.g.…”

Section: A Large Scale Data Stream Processing Modules 1) Data Wrapper...mentioning

confidence: 99%

CityPulse: Large Scale Data Analytics Framework for Smart Cities

et al. 2016

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Our world and our lives are changing in many ways. Communication, networking, and computing technologies are among the most influential enablers that shape our lives today. Digital data and connected worlds of physical objects, people, and devices are rapidly changing the way we work, travel, socialize, and interact with our surroundings, and they have a profound impact on different domains, such as healthcare, environmental monitoring, urban systems, and control and management applications, among several other areas. Cities currently face an increasing demand for providing services that can have an impact on people's everyday lives. The CityPulse framework supports smart city service creation by means of a distributed system for semantic discovery, data analytics, and interpretation of large-scale (near-)real-time Internet of Things data and social media data streams. To goal is to break away from silo applications and enable cross-domain data integration. The CityPulse framework integrates multimodal, mixed quality, uncertain and incomplete data to create reliable, dependable information and continuously adapts data processing techniques to meet the quality of information requirements from end users. Different than existing solutions that mainly offer unified views of the data, the CityPulse framework is also equipped with powerful data analytics modules that perform intelligent data aggregation, event detection, quality assessment, contextual filtering, and decision support. This paper presents the framework, describes its components, and demonstrates how they interact to support easy development of custom-made applications for citizens. The benefits and the effectiveness of the framework are demonstrated in a use-case scenario implementation presented in this paper

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“…Queries to the event processing system might be in SPARQL for RDF, TESLA-a formally defined Event Specification Language [6], or EP-SPARQL [2], or in Event Processing Language, 3 or Big Data Processing Language (BDPL) [24].…”

Section: A Complex Event Processing (Cep)mentioning

confidence: 99%

Event model to facilitate data sharing among services: Closing the gap between research and implementation

Kotevska

Lbath

Gelernter

2016

2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)

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Development of smart city services is presently hindered because the data is too heterogeneous, despite the increasing availability of data in open data initiatives. We determined metadata fields and semantics for our proposed model after a survey of other event models, and after its trial implementation in actual applications. Our event metadata model is unique among event models in being extensible as needed. We illustrate our model by showing it with different data types, and we validate it using real-world data in a prototype smart cities service for pedestrian safety. Wide adoption of our event metadata model has the potential to broaden the number and scope of smart city services.

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PLAY: Semantics-Based Event Marketplace

Cited by 7 publications

References 17 publications

Internet of things (IoT) assisted soil salinity mapping at irrigation schema level

Internet of things (IoT) assisted soil salinity mapping at irrigation schema level

CityPulse: Large Scale Data Analytics Framework for Smart Cities

Event model to facilitate data sharing among services: Closing the gap between research and implementation

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