Next-Generation Data Management with Agentic AI and Large Language Models
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Processes".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 1
Special Issue Editor
Interests: data management; quantum computing; artificial intelligence; agentic AI; LLMs; data science; P2P, web, and especially semantic web
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid progress in Artificial Intelligence, particularly in agentic systems and large language models (LLMs), is transforming the landscape of data management. This Special Issue seeks to explore and highlight innovative approaches that integrate agentic AI, LLMs, and advanced hardware technologies to reshape how data is organized, processed, and understood.
We invite contributions that investigate how agentic AI systems—capable of autonomous decision-making and task execution—can take on complex data-management tasks, ranging from information extraction, integration, and cleaning to semantic enrichment and reasoning. When combined with the contextual understanding and natural language capabilities of LLMs, these systems open new avenues for intelligent, human-like interaction using data and knowledge. On the other hand, agentic AI systems face data management issues, which have not been explored in existing research. Hence, we especially welcome contributions dealing with new data-management problems in agentic AI systems.
A key focus of this Special Issue is also on the integration of LLMs into database systems—both as user-facing query interfaces and as internal components to enhance query optimization, indexing, and schema understanding. Furthermore, we encourage research on the acceleration of such data-centric AI workflows using modern hardware, including FPGAs, GPUs, and quantum computing platforms.
Knowledge graphs, as structured representations of semantic information, play a vital role in many of these applications. This Special Issue welcomes submissions that explore the interplay between knowledge graphs, LLMs, and agentic AI systems, particularly in building, maintaining, and reasoning over large-scale knowledge resources.
Topics of interest include, but are not limited to, the following:
- Data management in agentic AI systems;
- Agentic AI solutions for data-management tasks;
- Enhancing data pipelines with large language models;
- LLM integration into database systems;
- Agentic AI for autonomous data-management tasks;
- Hardware-accelerated data processing using FPGAs, GPUs, and quantum computers;
- LLMs and agent-based approaches for knowledge graph generation and enrichment.
In this Special Issue, we aim to provide a forum for cutting-edge research, practical insights, and visionary perspectives operating at the intersection of AI and data management. We look forward to receiving your contributions.
Prof. Dr. Sven Groppe
Guest Editor
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. Information 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
- knowledge graphs
- LLM
- AI system
- data management
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