Advances in Semantic Multimedia and Personalized Digital Content

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: 25 February 2026 | Viewed by 850

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
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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
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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

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Guest Editor
Department of Informatics and Computer Engineering, University of West Attica, 12243 Egaleo, Greece
Interests: software engineering; educational technology; artificial intelligence
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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 Digital.

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. Computers 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 1800 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

30 pages, 10155 KB  
Article
Interoperable Semantic Systems in Public Administration: AI-Driven Data Mining from Law-Enforcement Reports
by Alexandros Z. Spyropoulos and Vassilis Tsiantos
Computers 2025, 14(9), 376; https://doi.org/10.3390/computers14090376 - 8 Sep 2025
Viewed by 683
Abstract
The digitisation of law-enforcement archives is examined with the aim of moving from static analogue records to interoperable semantic information systems. A step-by-step framework for optimal digitisation is proposed, grounded in archival best practice and enriched with artificial-intelligence and semantic-web technologies. Emphasis is [...] Read more.
The digitisation of law-enforcement archives is examined with the aim of moving from static analogue records to interoperable semantic information systems. A step-by-step framework for optimal digitisation is proposed, grounded in archival best practice and enriched with artificial-intelligence and semantic-web technologies. Emphasis is placed on semantic data representation, which renders information actionable, searchable, interlinked, and automatically processed. As a proof of concept, a large language model—OpenAI ChatGPT, version o3—was applied to a corpus of narrative police reports, extracting and classifying key entities (metadata, persons, addresses, vehicles, incidents, fingerprints, and inter-entity relationships). The output was converted to Resource Description Framework triples and ingested into a triplestore, demonstrating how unstructured text can be transformed into machine-readable, interoperable data with minimal human intervention. The approach’s challenges—technical complexity, data quality assurance, information-security requirements, and staff training—are analysed alongside the opportunities it affords, such as accelerated access to records, cross-agency interoperability, and advanced analytics for investigative and strategic decision-making. Combining systematic digitisation, AI-driven data extraction, and rigorous semantic modelling ultimately delivers a fully interoperable information environment for law-enforcement agencies, enhancing efficiency, transparency, and evidentiary integrity. Full article
(This article belongs to the Special Issue Advances in Semantic Multimedia and Personalized Digital Content)
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