Original scientific paper
https://doi.org/10.7305/automatika.54-4.414
Knowledge Representation in the Internet of Things: Semantic Modelling and its Applications
Wei Wang
; Centre for Communication Systems Research (CCSR), University of Surrey, Surrey GU27XH, GB-GU2, Guildford, United Kingdom
Suparna De
orcid.org/0000-0001-7439-6077
; Centre for Communication Systems Research (CCSR), University of Surrey, Surrey GU27XH, GB-GU2, Guildford, United Kingdom
Gilbert Cassar
; Centre for Communication Systems Research (CCSR), University of Surrey, Surrey GU27XH, GB-GU2, Guildford, United Kingdom
Klaus Moessner
orcid.org/0000-0002-0629-7998
; Centre for Communication Systems Research (CCSR), University of Surrey, Surrey GU27XH, GB-GU2, Guildford, United Kingdom
Abstract
Semantic modelling provides a potential basis for interoperating among different systems and applications in the Internet of Things (IoT). However, current work has mostly focused on IoT resource management while not on the access and utilisation of information generated by the “Things”. We present the design of a comprehensive and lightweight semantic description model for knowledge representation in the IoT domain. The design follows the widely recognised best practices in knowledge engineering and ontology modelling. Users are allowed to extend the model by linking to external ontologies, knowledge bases or existing linked data. Scalable access to IoT services and resources is achieved through a distributed, semantic storage design. The usefulness of the model is also illustrated through an IoT service discovery method.
Keywords
Internet of things; Knowledge representation; Ontology engineering; Distributed service storage; Service discovery; Service ranking
Hrčak ID:
114759
URI
Publication date:
14.1.2014.
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