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Advances in Semantic Multimedia and Personalized Digital Content

A special issue of Digital (ISSN 2673-6470).

Deadline for manuscript submissions: closed (25 February 2026) | Viewed by 10833

Special Issue Editors


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Guest Editor
Department of Informatics and Computer Engineering, University of West Attica, 12243 Athens, Greece
Interests: knowledge management; context representation and analysis; knowledge-assisted multimedia analysis
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Informatics and Computer Engineering, University of West Attica, 12243 Egaleo, Greece
Interests: personalization; human–computer interaction; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
ΓAΒLAB—Knowledge and Uncertainty Research Laboratory, University of the Peloponnese, 221 00 Tripoli, Greece
Interests: cultural informatics; semantics; uncertainty
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Informatics and Computer Engineering, University of West Attica, 12243 Egaleo, Greece
Interests: software engineering; educational technology; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will showcase cutting-edge research in semantic and social multimedia adaptation, personalization, and AI-driven content technologies. It will include selected papers from the 20th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP 2025), which will be held in Mystras, Greece, on November 27–28, 2025. However, this Special Issue is also open to original submissions that are not part of the conference.

With the exponential growth of digital content across multiple platforms, understanding and optimizing user interaction with multimedia is more critical than ever. Advances in artificial intelligence (AI), machine learning, knowledge graphs, natural language processing, and deep learning are driving new methodologies for semantic analysis, adaptive media, and personalized experiences. This Special Issue seeks to explore novel approaches to semantic multimedia analysis, user modeling, content personalization, and AI-driven media adaptation to enhance the accessibility, relevance, and effectiveness of digital content.

We invite high-quality contributions addressing theoretical advancements, innovative applications, and emerging challenges in this interdisciplinary field. Topics of interest include, but are not limited to, the following:

  • Semantic-driven multimedia content creation and annotation
    • AI-powered metadata extraction and semantic tagging
    • Knowledge graph integration for multimedia understanding
    • Automated generation of multimedia summaries and captions
  • Personalized user profiling and adaptive content delivery
    • Dynamic user modeling based on behavior and preferences
    • Adaptive media recommendations on streaming platforms
    • Emotion-aware multimedia adaptation and affective computing
  • Integration of AI into media adaptation
    • Deep learning models for video, image, and audio personalization
    • AI-driven storytelling and content generation
    • Hybrid AI–human approaches for interactive media experiences
  • Context-aware multimedia applications
    • Adaptive interfaces for immersive media (VR/AR/MR)
    • Sensor-based and IoT-enhanced multimedia personalization
    • Real-time context adaptation in smart environments
  • Privacy and security in personalized media services
    • Ethical AI and bias mitigation in personalized media
    • Secure and privacy-preserving user profiling
    • Trustworthy AI for multimedia adaptation

This Special Issue welcomes original research papers, review articles, and application-oriented contributions that push the boundaries of semantic multimedia adaptation and personalized content delivery. We encourage interdisciplinary submissions that bridge the gap between multimedia computing, artificial intelligence, human–computer interaction, and cognitive sciences.

You may choose our Joint Special Issue in Computers.

Dr. Phivos Mylonas
Dr. Christos Troussas
Dr. Akrivi Krouska
Dr. Manolis Wallace
Prof. Dr. Cleo Sgouropoulou
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 250 words) can be sent to the Editorial Office for assessment.

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. Digital is an international peer-reviewed open access quarterly 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 1200 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

  • multimedia
  • user profiling
  • context-aware

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Published Papers (3 papers)

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Research

21 pages, 1507 KB  
Article
Embodied Co-Creation with Real-Time Generative AI: An Ukiyo-E Interactive Art Installation
by Hisa Nimi, Meizhu Lu and Juan Carlos Chacon
Digital 2025, 5(4), 61; https://doi.org/10.3390/digital5040061 - 7 Nov 2025
Cited by 1 | Viewed by 3317
Abstract
Generative artificial intelligence (AI) is reshaping creative practices, yet many systems rely on traditional interfaces, limiting intuitive and embodied engagement. This study presents a qualitative observational analysis of participant interactions with a real-time generative AI installation designed to co-create Ukiyo-e-style artwork through embodied [...] Read more.
Generative artificial intelligence (AI) is reshaping creative practices, yet many systems rely on traditional interfaces, limiting intuitive and embodied engagement. This study presents a qualitative observational analysis of participant interactions with a real-time generative AI installation designed to co-create Ukiyo-e-style artwork through embodied inputs. The system dynamically interprets physical presence, object manipulation, body poses, and gestures to influence AI-generated visuals displayed on a large public screen. Drawing on systematic video analysis and detailed interaction logs across 13 sessions, the research identifies core modalities of interaction, patterns of co-creation, and user responses. Tangible objects with salient visual features such as color and pattern emerged as the primary, most intuitive input method, while bodily poses and hand gestures served as compositional modifiers. The system’s immediate feedback loop enabled rapid learning and iterative exploration and enhanced the user’s feeling of control. Users engaged in collaborative discovery, turn-taking, and shared authorship, frequently expressing a positive effect. The findings highlight how embodied interaction lowers cognitive barriers, enhances engagement, and supports meaningful human–AI collaboration. This study offers design implications for future creative AI systems, emphasizing accessibility, playful exploration, and cultural resonance, with the potential to democratize artistic expression and foster deeper public engagement with digital cultural heritage. Full article
(This article belongs to the Special Issue Advances in Semantic Multimedia and Personalized Digital Content)
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23 pages, 764 KB  
Article
Transforming SHACL Shape Graphs into HTML Applications for Populating Knowledge Graphs
by Petko Rutesic, Dennis Pfisterer, Heiko Paulheim and Stefan Fischer
Digital 2025, 5(4), 56; https://doi.org/10.3390/digital5040056 - 15 Oct 2025
Viewed by 2736
Abstract
Creating applications to manually populate and modify knowledge graphs is a complex task. In this paper, we propose a novel approach for designing user interfaces for this purpose, based on existing SHACL constraint files. Our method consists of taking SHACL constraints and creating [...] Read more.
Creating applications to manually populate and modify knowledge graphs is a complex task. In this paper, we propose a novel approach for designing user interfaces for this purpose, based on existing SHACL constraint files. Our method consists of taking SHACL constraints and creating multi-form web applications. The novelty of the approach is to treat the editing of knowledge graphs via multi-form application interaction as a business process. This enables user interface modeling, such as modeling of application control flows by integrating ontology-based business process management components. Additionally, because our application models are themselves knowledge graphs, we demonstrate how they can leverage OWL reasoning to verify logical consistency and improve the user experience. Full article
(This article belongs to the Special Issue Advances in Semantic Multimedia and Personalized Digital Content)
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23 pages, 3734 KB  
Article
Mapping the Digital Media Landscape in Bulgaria: Analysis of Web Publications
by Plamen Hristov Milev
Digital 2025, 5(2), 15; https://doi.org/10.3390/digital5020015 - 15 May 2025
Viewed by 3836
Abstract
This study explores the thematic structure and editorial focus of the digital media landscape in Bulgaria by analyzing one year of online news publications from eight major media outlets. The data were collected through a custom-built web scraping application developed in Java, which [...] Read more.
This study explores the thematic structure and editorial focus of the digital media landscape in Bulgaria by analyzing one year of online news publications from eight major media outlets. The data were collected through a custom-built web scraping application developed in Java, which enabled the automated extraction and processing of full-text articles from publicly accessible news websites. The structured dataset, generated during the scraping process, records word-level occurrences in both article titles and bodies, along with publication dates and URLs. By applying lexical frequency analysis and temporal tracking, this study identifies the most frequently used words and platform-specific usage patterns. The findings reveal clear distinctions in editorial focus between public broadcasters, private national media, and international outlets. Additionally, the analysis highlights how title construction and word prominence vary depending on platform type and media strategy. This study demonstrates the potential of web scraping and computational text analysis as scalable tools for investigating media systems in small and transitional democracies. Full article
(This article belongs to the Special Issue Advances in Semantic Multimedia and Personalized Digital Content)
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