The Internet of Musical Things Ontology Abstract   The Internet of Musical Things (IoMusT) is an emerging research area consisting of the extension of the Internet of Things paradigm to the music domain. Interoperability represents a central issue within this domain, where heterogeneous objects dedicated to the production andor reception of musical content (Musical Things) are envisioned to communicate between each other. This paper proposes an ontology for the representation of the knowledge related to IoMusT ecosystems to facilitate interoperability between Musical Things. There was no previous comprehensive data model for the IoMusT domain, however the new ontology relates to existing ontologies, including the SOSA Ontology for the representation of sensors and actuators and the Music Ontology focusing on the production and consumption of music. This paper documents the design of the ontology and its evaluation with respect to specific requirements gathered from an extensive literature review, which was based on scenarios involving IoMusT stakeholders, such as performers and audience members. The IoMusT Ontology can be accessed at:  https:w3id.orgiomust .

Cutting a Path Through the IoT Ontology Jungle  A MetaSurvey Interoperability of InternetofThings(IoT) applications, being characterized by massive heterogeneity of xe2x80x9cthingsxe2x80x9d, has become a key challenge in IoT research due to the omnipresence of smart devices. In order to achieve adequate interoperability levels, semantic technologies in terms of ontologies are a promising paradigm. Due to the plethora of IoT ontologies available, one gets, however, easily lost in the ontology jungle due to the lack of an overall and uptodate view on the IoT ontology landscape. In this respect, the aim of this paper is to act as an umbrella across several uptodate IoT ontology survey papers in terms of a metasurvey comprising a threefold contribution: Firstly, addressing the survey landscape, we provide insight into commonalities and differences regarding the scope of eight survey papers and their rationale behind. Secondly, addressing the IoT ontology landscape, we analyze the IoT ontologies discussed in the survey papers on basis of quantitative and qualitative aspects. Thirdly, addressing the stateofresearch of ontologies for IoT, we identify commonalities and differences regarding conclusions and lessons learned of the survey papers.