In this chapter, we present an overview of our proposed Generalized World Entities (GWEs) paradigm, to be used to add a semantic/conceptual dimension to IoT/WoT (Internet of Things/Web of Things) procedures. GWEs offer a unified way to model seamlessly, at the conceptual level, both the digital counterparts of elementary entities, such as physical objects, humans, robots and low-level events, and the semantic representations of higher levels of abstraction. These higher levels correspond to structured situations/behaviors implying mutual relationships among simpler entities. The GWEs approach is both a theoretical and a practical framework that can give a significant contribution to solve some important IoT/WoT problems, such as interoperability and uniform IoT controls. Thanks to a unique ontology-based representation language, the chapter shows the possibility of bridging the semantic gap between the recognition of entities at the sensor level and their representation at the conceptual level.

A Semantic-Rich Approach to IoT Using the Generalized World Entities Paradigm

AMARILLI, FABRIZIO;AMIGONI, FRANCESCO;FUGINI, MARIAGRAZIA;
2017-01-01

Abstract

In this chapter, we present an overview of our proposed Generalized World Entities (GWEs) paradigm, to be used to add a semantic/conceptual dimension to IoT/WoT (Internet of Things/Web of Things) procedures. GWEs offer a unified way to model seamlessly, at the conceptual level, both the digital counterparts of elementary entities, such as physical objects, humans, robots and low-level events, and the semantic representations of higher levels of abstraction. These higher levels correspond to structured situations/behaviors implying mutual relationships among simpler entities. The GWEs approach is both a theoretical and a practical framework that can give a significant contribution to solve some important IoT/WoT problems, such as interoperability and uniform IoT controls. Thanks to a unique ontology-based representation language, the chapter shows the possibility of bridging the semantic gap between the recognition of entities at the sensor level and their representation at the conceptual level.
2017
Managing the Web of Things: Linking the Real World to the Web
9780128097656
Generalized world entities; Inference; IoT/WoT; Knowledge representation; Ontologies; Privacy and security; Semantic level; Sensor level; Computer Science (all)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1031707
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