C Minor: a Semantic Publish/Subscribe Broker for the Internet of Musical Things

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

doi:10.23919/fruct.2018.8588087

Cited by 10 publications

(13 citation statements)

References 39 publications

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“…All those APIs, nevertheless, follow the standards required by SEPA to communicate: HTTP(S) GETs for queries, POST for updates; Websocket(S) for subscriptions. A different SEPA implementation, realized using CoAP protocol, has also been studied in [30]. Fig.…”

Section: B Sepa and Sparql 11 Subscribe Protocolmentioning

confidence: 99%

Mapping the NGSI-LD Context Model on Top of a SPARQL Event Processing Architecture: Implementation Guidelines

Viola

Antoniazzi

Aguzzi

et al. 2019

2019 24th Conference of Open Innovations Association (FRUCT)

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NGSI-LD is an open specification released by ETSI which proposes an information model and an API for an easy to use and standard management of context information. The NGSI-LD information model is framed within an ontology and adopts JSON-LD as serialization format for context information. This paper presents an approach to the implementation of the NGSI-LD specification over a SPARQL Event Processing Architecture. This work is being developed within the European-Brasilian H2020 SWAMP project focused on implementing an Internet of Things platform providing services for smart water management in agriculture.

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Section: B Sepa and Sparql 11 Subscribe Protocolmentioning

confidence: 99%

Mapping the NGSI-LD Context Model on Top of a SPARQL Event Processing Architecture: Implementation Guidelines

Viola

Antoniazzi

Aguzzi

et al. 2019

2019 24th Conference of Open Innovations Association (FRUCT)

Self Cite

View full text Add to dashboard Cite

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“…However, Semantic Web technologies are not suitable for IoMusT applications relying on real-time aspects, as the Semantic Web stack is oriented towards static scenarios, where information evolves at a low rate. To cope with this issue, Viola et al improved the architecture reported in [78] by using CoAp, a lightweight IoT protocol for machineto-machine communication [88]. 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].…”

Section: Iomust Ecosystemsmentioning

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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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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“…There are relevant examples of systems relying on Semantic Audio. For instance, the Audio Commons ecosystem [98] provides a mechanism to combine generic audio and content repositories within creative application scenarios [99], [100], [101], [19], [102], [103] that include sounds collected from the broader environment. A key concept in these systems is the combination of the two primary aspects of semantic audio: machine analysis and automatic tagging of content, and its representation in an appropriate semantic hierarchy for interoperability [10], [104].…”

Section: E Semantic Audiomentioning

confidence: 99%

The Internet of Audio Things: State of the Art, Vision, and Challenges

Turchet

Fazekas

Lagrange

et al. 2020

IEEE Internet Things J.

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The Internet of Audio Things (IoAuT) is an emerging research field positioned at the intersection of the Internet of Things, sound and music computing, artificial intelligence, and human-computer interaction. The IoAuT refers to the networks of computing devices embedded in physical objects (Audio Things) dedicated to the production, reception, analysis and understanding of audio in distributed environments. Audio Things, such as nodes of wireless acoustic sensor networks, are connected by an infrastructure that enables multidirectional communication, both locally and remotely. In this paper, we first review the state of the art of this field, then we present a vision for the IoAuT and its motivations. In the proposed vision, the IoAuT enables the connection of digital and physical domains by means of appropriate information and communication technologies, fostering novel applications and services based on auditory information. The ecosystems associated with the IoAuT include interoperable devices and services that connect humans and machines to support human-human and human-machines interactions. We discuss challenges and implications of this field, which lead to future research directions on the topics of privacy, security, design of Audio Things, and methods for the analysis and representation of audio-related information.

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C Minor: a Semantic Publish/Subscribe Broker for the Internet of Musical Things

Cited by 10 publications

References 39 publications

Mapping the NGSI-LD Context Model on Top of a SPARQL Event Processing Architecture: Implementation Guidelines

Mapping the NGSI-LD Context Model on Top of a SPARQL Event Processing Architecture: Implementation Guidelines

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

The Internet of Audio Things: State of the Art, Vision, and Challenges

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