The Internet of Musical Things Ontology

Turchet, Luca; Antoniazzi, Francesco; Viola, Fabio; Giunchiglia, Fausto; Fazekas, György

doi:10.1016/j.websem.2020.100548

Cited by 27 publications

(22 citation statements)

References 45 publications

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“…Such architecture has been further improved and extended, leading to the Musical Semantic Event Processing Architecture (MUSEPA), a semantically based architecture designed to meet the IoMusT requirements of low-latency communication, discoverability, interoperability, and automatic inference [70]. MUSEPA uses at its core the Internet of Musical Things Ontology, an ontology dedicated to the representation of knowledge related to the IoMusT domain [79].…”

Section: Iomust Ecosystemsmentioning

confidence: 99%

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On the relation between the fields of Networked Music Performances, Ubiquitous Music, and Internet of Musical Things

Turchet

Rottondi

2022

Pers Ubiquit Comput

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In the past two decades, we have witnessed the diffusion of an increasing number of technologies, products, and applications at the intersection of music and networking. As a result of the growing attention devoted by academy and industry to this area, three main research fields have emerged and progressively consolidated: the Networked Music Performances, Ubiquitous Music, and the Internet of Musical Things. Based on the review of the most relevant works in these fields, this paper attempts to delineate their differences and commonalities. The aim of this inquiry is helping avoid confusion between such fields and achieve a correct use of the terminology. A trend towards the convergence between such fields has already been identified, and it is plausible to expect that in the future their evolution will lead to a progressive blurring of the boundaries identified today.

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Section: Iomust Ecosystemsmentioning

confidence: 99%

“…Examples of studies and systems belonging to both Ubimus and IoMusT include those reported in [72,80]. Examples of studies belonging to IoMusT but not to Ubimus are those reported in [19,50,70,78,79,81]. Examples of studies belonging to Ubimus but not to IoMusT are [44,45].…”

Section: Ubimus Vs Iomustmentioning

confidence: 99%

On the relation between the fields of Networked Music Performances, Ubiquitous Music, and Internet of Musical Things

Turchet

Rottondi

2022

Pers Ubiquit Comput

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“…Azevedo, Pereira and Henriques (2019) proposed a generalized method for mapping a relational database to an ontology and evaluating the created ontology's correctness. Turchet et al (2020) defined IoMusT Ontology which was introduced in OWL for describing ecosystems developing around IoMusT technologies.…”

Section: Related Workmentioning

confidence: 99%

RML based ontology development approach in internet of things for healthcare domain

Ahamed

Mir

Chishti

2021

IJPCC

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Purpose A huge amount of diverse data is generated in the Internet of Things (IoT) because of heterogeneous devices like sensors, actuators, gateways and many more. Due to assorted nature of devices, interoperability remains a major challenge for IoT system developers. The purpose of this study is to use mapping techniques for converting relational database (RDB) to resource directory framework (RDF) for the development of ontology. Ontology helps in achieving semantic interoperability in application areas of IoT which results in shared/common understanding of the heterogeneous data generated by the diverse devices used in health-care domain. Design/methodology/approach To overcome the issue of semantic interoperability in healthcare domain, the authors developed an ontology for patients having cardio vascular diseases. Patients located at any place around the world can be diagnosed by Heart Experts located at another place by using this approach. This mechanism deals with the mapping of heterogeneous data into the RDF format in an integrated and interoperable manner. This approach is used to integrate the diverse data of heart patients needed for diagnosis with respect to cardio vascular diseases. This approach is also applicable in other fields where IoT is mostly used. Findings Experimental results showed that the RDF works better than the relational database for semantic interoperability in the IoT. This concept-based approach is better than key-based approach and reduces the computation time and storage of the data. Originality/value The proposed approach helps in overcoming the demerits of relational database like standardization, expressivity, provenance and supports SPARQL. Therefore, it helps to overcome the heterogeneity, thereby enabling the semantic interoperability in IoT.

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“…Most colleges and universities in China have built basic digital campus platforms, and these teaching information management systems based on campus IoT have integrated teacher information, class hour information, and class information, etc. [18,19]. The use of IoT enables the faculty and students to query information, work online, pay bills on campus, receive and send emails, and deal with various transactional affairs [20,21].…”

Section: Design Of the Iot-based Teaching Information Mining Systemmentioning

confidence: 99%

Design and Implementation of An Intelligent Classroom Teaching System for Music Class Based on Internet of Things

Lyu

Wang

2021

Int. J. Emerg. Technol. Learn.

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The intelligent classroom teaching system can analyze the student features and teaching content, and then push the suitable content to students. With the aid of such a system, teachers can develop more flexible teaching strategies, and evaluate the student performance more accurately. Drawing on the theories of the Internet of things (IoT), this paper designed an intelligent classroom teaching system for music teachers, and applied the system to actual teaching practice. The results showed that the proposed system provided music teachers with an ideal tool of teaching design; the network structure of the system consists of collaborative, master, camera monitoring, and standby servers; the proposed system was found to satisfy all requirements through repeated tests. The research results provided a good theoretical support to the application of IoT in teaching design.

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The Internet of Musical Things Ontology

Cited by 27 publications

References 45 publications

On the relation between the fields of Networked Music Performances, Ubiquitous Music, and Internet of Musical Things

On the relation between the fields of Networked Music Performances, Ubiquitous Music, and Internet of Musical Things

RML based ontology development approach in internet of things for healthcare domain

Design and Implementation of An Intelligent Classroom Teaching System for Music Class Based on Internet of Things

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