@inbook{860174027f454eb99d75b4fdc14743f0,
title = "Data Models and Contextual Information",
abstract = "The Internet of Things (IoT) and its applications emphasize the need for being context-aware to be able to sense the changing environmental conditions and to make use of the rich contextual information for analysis. The huge volume and high-velocity characteristics of IoT data necessitates that representation of IoT data takes into consideration the contextual information at scale during every step of the data processing life cycle, from production to storage, publication, and search. This chapter categorizes and describes the diverse forms of IoT data that are obtained from heterogeneous sensing sources. It also presents a framework for describing and analyzing the different types of contextual information that need to be associated with the IoT data in order to drive context-aware management and intelligent analytics. In addition, mechanisms for storing big IoT data and its contextual information are described, and common search and discovery methods for making IoT data accessible to applications and analysis components are presented.",
keywords = "Data marketplace, IoT contextual information, IoT data models, IoT data search, IoT data storage, Location models, Streaming data",
author = "Suparna De and Wei Wang and Maria Bermudez-Edo",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.",
year = "2024",
doi = "10.1007/978-3-031-39650-2_16",
language = "English",
series = "Springer Handbooks",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "385--406",
booktitle = "Springer Handbooks",
}