Enabling Context-Aware Data Analytics in Smart Environments: An Open Source Reference Implementation

Andres Muñoz-Arcentales

doi:10.3390/s21217095

Return

Enabling Context-Aware Data Analytics in Smart Environments: An Open Source Reference Implementation

2021-10-26

Andres Muñoz-Arcentales *

Sonsoles López‐Pernas

DOI：10.3390/s21217095

Original

Save

View PDF

Abstract

En 中文

In recent years, many proposals of context-aware systems applied to IoT-based smart environments have been presented in the literature. Most previous works provide a generic high-level structure of how a context-aware system can be operationalized, but do not offer clues on how to implement it. On the other hand, there are many implementations of context-aware systems applied to specific IoT-based smart environments that are context-specific: it is not clear how they can be extended to other use cases. In this article, we aim to provide an open-source reference implementation for providing context-aware data analytics capabilities to IoT-based smart environments. We rely on the building blocks of the FIWARE ecosystem and the NGSI data standard, providing an agnostic end-to-end solution that considers the complete data lifecycle, covering from data acquisition and modeling, to data reasoning and dissemination. In other words, our reference implementation can be readily operationalized in any IoT-based smart environment regardless of its field of application, providing a context-aware solution that is not context-specific. Furthermore, we provide two example use cases that showcase how our reference implementation can be used in a variety of fields.

Keywords:

context-aware systems

big data

data analytics

smart environments

IoT

machine learning

FIWARE

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.