Urban IoT ontologies for sharing and electric mobility

Abstract

Cities worldwide are facing the challenge of digital information governance: different and competing service providers operating Internet of Things (IoT) devices often produce and maintain large amounts of data related to the urban environment. As a consequence, the need for interoperability arises between heterogeneous and distributed information, to enable city councils to make data-driven decisions and to provide new and effective added value services to their citizens. In this paper, we present the Urban IoT suite of ontologies, a common conceptual model to harmonise the data exchanges between municipalities and service providers, with specific focus on the sharing mobility and electric mobility domains.

Modelling Business Agreements in the Multimodal Transportation Domain Through Ontological Smart Contracts

“…In particular, we will explore the configuration of semantic conversion pipelines [17] and the exploitation of the obtained knowledge graph. Moreover, we would like to extend the scope of the defined ontology to enable the representation of heterogeneous agreements in the multimodal transportation domain, for example, considering requirements for the sharing and electric mobility [18]. Finally, the evolution of the suite of IP4 ontologies will be taken into account to extend and update the defined ontology.…”

“…The RDF dataset is published at https://w3id.org/ride2rail/agreements# (ag: prefix) and hosted on Github 18 . A Chowlk diagram is provided in the ontology documentation for each oasis:SmartContract 19 .…”

Editorial of transport data on the web

“…The resource also provides a set of competency questions to validate the vocabulary, and a set of mapping rules in RML [10] to allow the declarative generation of RDF graphs from (semi)structured data sources. -The second paper "Urban IoT Ontologies for Sharing and Electric Mobility" [24], describes a set of vocabularies to enable interoperability between municipalities and public organizations with IoT service providers. The authors also follow the LOT methodology [29] to develop the vocabularies, together with a set of competency questions and some RDF examples in JSON-LD serialization of the bikes service from the city of Milan.…”

EVKG: An interlinked and interoperable electric vehicle knowledge graph for smart transportation system

“…To address this problem, ontologies have been developed to achieve semantic interoperability across different data sources. For instance, Scrocca et al (2021) introduced the Urban IoT ontology, which conceptualized the data exchange between service providers and operating IoT devices in the urban area. However, this ontology primarily focuses on the micro‐level interactions between EVs and charging infrastructure and does not offer links to external KG resources or their ontologies.…”