Current Advances in Intelligent Semantic Technologies
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 25 November 2025 | Viewed by 93
Special Issue Editors
Interests: artificial intelligence; hybrid intelligence combining AI and human; enterprise modelling; alignment of business and IT; digitalization of business processes and knowledge work
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to this Special Issue on Current Advances in Intelligent Semantic Technologies. Semantic technologies include approaches to the explicit represention of knowledge in a declarative form, suitable for processing by symbolic reasoning. This Special Issue highlights recent developments in semantic technologies, their integration with machine learning and their applications.
In this Special Issue, original research articles and reviews are welcome and the main focus of the articles is assumed to be on, but not limited to, the following areas:
- Using semantic technologies to make data and information better understandable for machines;
- Combining semantic technologies to enable machines to interpret, process and apply data effectively and efficiently;
- Optimized reasoning engines for large-scale knowledge graphs and ontologies;
- The design and engineering of knowledge-based systems and their applications;
- Dynamic ontology evolution, enabling automated updates in response to new data streams and evolving knowledge bases;
- Ontology matching and alignment, improving semantic interoperability across heterogeneous systems;
- Scalable approaches for automated reasoning;
- Knowledge extraction and enrichment from unstructured or semi-structured data;
- Extensions of large language models with semantic reasoning and explainability;
- Intelligent information systems integrating knowledge-driven AI with data-driven machine learning approaches;
- Formal verification techniques ensuring logical consistency in ontology-based decision-making;
- Incorporating ethical considerations and data privacy into AI systems and reasoning;
- The integration of machine learning and knowledge engineering;
- Tools for the development and use of intelligent information systems.
By focusing on semantic AI, reasoning, explainable logic-based decision-making, and ontology integration, this Special Issue provides a platform for advancing intelligent information systems that seamlessly combine rule-based methods, semantic interoperability, and automated deduction.
Prof. Dr. Knut Hinkelmann
Prof. Dr. Bernhard Humm
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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
- knowledge representation and reasoning (KR&R)
- rule-based systems
- ontology, knowledge graphs, ontology engineering
- automated reasoning
- semantic interoperability
- scalable knowledge graphs
- formal verification in AI
- explainable AI
- logic-based AI and deductive systems
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