Advances in Semantic Multimedia and Personalized Digital Content

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

Deadline for manuscript submissions: 25 February 2026 | Viewed by 286

Special Issue Editors


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Guest Editor
Department of Informatics, Ionian University, 49132 Corfu, Greece
Interests: knowledge management; context representation and analysis; knowledge-assisted multimedia analysis
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor

E-Mail Website
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: e-learning; open educational resources (OERs); learning outcomes; competence and skill modeling for strengthening LLL; mobility and training to employment pathways; open data and analytics for e-research
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.

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 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. 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 1000 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 (1 paper)

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Research

23 pages, 3734 KiB  
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 161
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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