Big data stream analysis: a systematic literature review
Recently, big data streams have become ubiquitous due to the fact that a number of
applications generate a huge amount of data at a great velocity. This made it difficult for …
applications generate a huge amount of data at a great velocity. This made it difficult for …
When things matter: A survey on data-centric internet of things
With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor
devices, and Web technologies, the Internet of Things (IoT) approach has gained …
devices, and Web technologies, the Internet of Things (IoT) approach has gained …
SOSA: A lightweight ontology for sensors, observations, samples, and actuators
Abstract The Sensor, Observation, Sample, and Actuator (SOSA) ontology provides a formal
but lightweight general-purpose specification for modellingthe interaction between the …
but lightweight general-purpose specification for modellingthe interaction between the …
Agri-IoT: A semantic framework for Internet of Things-enabled smart farming applications
With the recent advancement of the Internet of Things (IoT), it is now possible to process a
large number of sensor data streams using different large-scale IoT platforms. These IoT …
large number of sensor data streams using different large-scale IoT platforms. These IoT …
Crowdsourcing, citizen sensing and sensor web technologies for public and environmental health surveillance and crisis management: trends, OGC standards and …
Abstract'Wikification of GIS by the masses' is a phrase-term first coined by Kamel Boulos in
2005, two years earlier than Goodchild's term'Volunteered Geographic Information'. Six …
2005, two years earlier than Goodchild's term'Volunteered Geographic Information'. Six …
[PDF][PDF] Citypulse: Large scale data analytics framework for smart cities
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 …
computing technologies are among the most influential enablers that shape our lives today …
Stream Reasoning: a Survey and Outlook: A summary of ten years of research and a vision for the next decade
Stream reasoning studies the application of inference techniques to data characterised by
being highly dynamic. It can find application in several settings, from Smart Cities to Industry …
being highly dynamic. It can find application in several settings, from Smart Cities to Industry …
Citybench: A configurable benchmark to evaluate rsp engines using smart city datasets
With the growing popularity of Internet of Things (IoT) and IoT-enabled smart city
applications, RDF stream processing (RSP) is gaining increasing attention in the Semantic …
applications, RDF stream processing (RSP) is gaining increasing attention in the Semantic …
[HTML][HTML] LARS: A logic-based framework for analytic reasoning over streams
The increasing availability of streaming data has accelerated advances in information
processing tools that no longer store data for static querying but push information to …
processing tools that no longer store data for static querying but push information to …
[HTML][HTML] Spatio-temporal semantic data management systems for IoT in agriculture 5.0: Challenges and future directions
Abstract The Agri-Food sector is in a stressful situation due to the high demand for food from
the growing population around the world. The agricultural sector is facing a challenging …
the growing population around the world. The agricultural sector is facing a challenging …