Semantic and Social Internet of Things

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Techno-Social Smart Systems".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 4479

Special Issue Editors


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Guest Editor
Department of Cultural Technology and Communication, School of Social Sciences, 81100 Mytilene, Greece
Interests: IoT; ontologies and semantic web
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Information and Communication Systems Engineering, School of Engineering, University of the Aegean, 83200 Samos, Greece
Interests: pervasive computing systems; IoT; ontological knowledge representation

Special Issue Information

Dear Colleagues,

Semantics have already proven their effectiveness in addressing challenges such as a) the handling of ΙοΤ data and ΙοΤ systems’ heterogeneity; b) the facilitation of seamless integration of IoT data-consuming applications; c) the inference of knowledge from real-time ΙοΤ data, towards building applications that provide smart solutions to everyday societal problems; and d) the facilitation of semantic interoperability among various IoT-enabled processes including the representation, interlinking, integration, storage, and retrieval of IoT data.

On the other hand, IoT entities (things, sensors, actuators, and smart devices) should be able to create social relationships among themselves (e.g., friendship, ownership, honesty, cooperativeness, community interest), without human intervention, towards the development of social networks of IoT entities. Things should be able to communicate, collaborate, and interlink between each other with safety, as humans do (e.g., because of friendship and trust relationships/principles). Social IoT is based on relationships, similar to people in social networks. Things in a distributed Social IoT are interconnected nodes that store data. Social IoT been emerged in intelligent environments where heterogeneous IoT entities are able to discover other trustworthy entities, interoperate and communicate between each other, and automatically deploy themselves along with other selected and trustworthy IoT entities.

In this Special Issue, the focus is on the intersection of semantic, social, and IoT technologies, inviting high-quality research papers discussing different solutions so that the combination of these technologies can lead to the evolution of the Semantic Web of Things (SemWoT), the Social Web of Things (SocWoT), or even the Semantic Social WoT (SemSocWoT).  

Topics of interest include but are not limited to the following:

  • Social Web.
  • Semantic Web.
  • Internet of things (IoT).
  • Web of things (WoT).
  • Semantic IoT/WoT.
  • Social IoT/WoT.
  • Agent-based Social IoT/WoT.
  • Trustworthy IoT/WoT.
  • Semantic social IoT/WoT.
  • Semantic interoperability in IoT/WoT.
  • Semantics in sensor networks.
  • Knowledge/ontology engineering in IoT/WoT.
  • Semantics for modelling security, privacy, and trust in IoT/WoT.
  • Trust management in IoT/WoT.
  • Semantics for annotating and integrating streaming IoT/WoT data.
  • Learning semantics from stream IoT/WoT data.
  • Semantic data management in IoT/WoT.
  • Ontology-based data access (OBDA), integration and reasoning with heterogeneous, multimodal, and disparate IoT/WoT data.
  • Semantically enabled IoT/WoT services, alignment, and composition.
  • Semantic technologies for smart cities.

Dr. Konstantinos Kotis
Dr. Christos Goumopoulos
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • social web
  • semantic web
  • IoT
  • WoT
  • Semantic IoT/WoT
  • Social IoT/WoT.

Published Papers (2 papers)

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Research

34 pages, 5207 KiB  
Article
An Ontology for Spatio-Temporal Media Management and an Interactive Application
by Takuro Sone, Shin Kato, Ray Atarashi, Jin Nakazato, Manabu Tsukada and Hiroshi Esaki
Future Internet 2023, 15(7), 225; https://doi.org/10.3390/fi15070225 - 23 Jun 2023
Cited by 1 | Viewed by 1377
Abstract
In addition to traditional viewing media, metadata that record the physical space from multiple perspectives will become extremely important in realizing interactive applications such as Virtual Reality (VR) and Augmented Reality (AR). This paper proposes the Software Defined Media (SDM) Ontology designed to [...] Read more.
In addition to traditional viewing media, metadata that record the physical space from multiple perspectives will become extremely important in realizing interactive applications such as Virtual Reality (VR) and Augmented Reality (AR). This paper proposes the Software Defined Media (SDM) Ontology designed to describe spatio-temporal media and the systems that handle them comprehensively. Spatio-temporal media refers to video, audio, and various sensor values recorded together with time and location information. The SDM Ontology can flexibly and precisely represent spatio-temporal media, equipment, and functions that record, process, edit, and play them, as well as related semantic information. In addition, we recorded classical and jazz concerts using many video cameras and audio microphones, and then processed and edited the video and audio data with related metadata. Then, we created a dataset using the SDM Ontology and published it as linked open data (LOD). Furthermore, we developed “Web3602”, an application that enables users to interactively view and experience 360 video and spatial acoustic sounds by referring to this dataset. We conducted a subjective evaluation by using a user questionnaire. Web3602 is a data-driven web application that obtains video and audio data and related metadata by querying the dataset. Full article
(This article belongs to the Special Issue Semantic and Social Internet of Things)
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27 pages, 2832 KiB  
Article
S2NetM: A Semantic Social Network of Things Middleware for Developing Smart and Collaborative IoT-Based Solutions
by Antonios Pliatsios, Dimitrios Lymperis and Christos Goumopoulos
Future Internet 2023, 15(6), 207; https://doi.org/10.3390/fi15060207 - 6 Jun 2023
Cited by 3 | Viewed by 1470
Abstract
The Social Internet of Things (SIoT) paradigm combines the benefits of social networks with IoT networks to create more collaborative and efficient systems, offering enhanced scalability, better navigability, flexibility, and dynamic decision making. However, SIoT also presents challenges related to dynamic friendship selection, [...] Read more.
The Social Internet of Things (SIoT) paradigm combines the benefits of social networks with IoT networks to create more collaborative and efficient systems, offering enhanced scalability, better navigability, flexibility, and dynamic decision making. However, SIoT also presents challenges related to dynamic friendship selection, privacy and security, interoperability, and standardization. To fully unlock the potential of SIoT, it is crucial to establish semantic interoperability between the various entities, applications, and networks that comprise the system. This paper introduces the Semantic Social Network of Things Middleware (S2NetM), which leverages social relationships to enhance semantic interoperability in SIoT systems. The S2NetM employs semantic reasoning and alignment techniques to facilitate the creation of dynamic, context-aware social networks of things that can collaboratively work together and enable new opportunities for IoT-based solutions. The main contributions of this paper are the specification of the S2NetM and the associated ontology, as well as the discussion of a case study demonstrating the effectiveness of the proposed solution. Full article
(This article belongs to the Special Issue Semantic and Social Internet of Things)
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