The Internet of Things is an ecosystem which enables objects and devices, such as sensors or actuators, to communicate and exchange information with each other without human intervention. One of the main challenges in the Internet of Things is the lack of semantic interoperability. Devices cannot understand the meaning of raw data, due to the diversity and heterogeneity in data formats from different sources. In order to deal with semantic interoperability, ontologies are the one way to integrate semantics to raw data. They describe an IoT system and represent the data in a standardized way. The IoT devices provide a great deal of IoT data, mainly used for specific IoT applications such as smart home, smart farming, smart cities or healthcare. Therefore, existing applications became isolated in vertical silos, each one of them use independently their own model (i.e. ontology), which makes this ontologies also limited to a specific domain. Our approach has the goal of breaking down these vertical silos and achieves a semantic interoperability across IoT domains in cross-domain applications. In this paper, we propose a development of a single cross-domain ontology named CDOnto. The latter is considered to be a generic across different IoT domains, which can be extended by domain-specific ontologies. The proposed ontological model follows a contextual approach to organize and distinguish the combined domains (i.e. contexts) representations. In addition, the ontology allows reasoning across overlapping IoT domains and infers a complementary and new knowledge required in cross-domain applications. Povzetek: Predlagamo semantični ontološki model za doseganje semantične interoperabilnosti v kontekstu interneta stvari (IoT).

Domain ontologies are intended to provide a commonly shared understanding among several user communities. Concepts and their relationships are used to explicitly model the realworld phenomena that are of interest to users of specific domain. In practice, a set of a specificdomain applications use different representations of the same real-world entity due to various viewpoints, context and specific interest. In this paper, we are interested in the problem of representing an ontology in heterogeneous organisation by taking into account different viewpoints and different terminologies of various users, groups or even communities in the organisation. Such ontology, called Multi-Viewpoints Ontology, allows heterogeneity and consensus in a heterogeneous organisation. So, our goal is to propose a Multi-Viewpoints Ontology Web Language, which is an extension of OWL-DL language, to allow the multiviewpoints ontologies representation for the Semantic Web. and a co-head of the SI&BC research group at the LIRE laboratory. Her research interests include knowledge representation and knowledge base design; formal knowledge representation models and query languages for the Semantic Web. This paper is a revised and expanded version of a paper

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