Context Awareness in Intelligent and AI-Driven Information Retrieval
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 August 2026 | Viewed by 234
Special Issue Editor
Interests: semantic web; open linked data; knowledge engineering; intelligent information retrieval and multi-agent systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Context-sensitive retrieval is central to applications such as domain-specific conversational agents, RAG (Retrieval Augmented Generation)-based question answering, multimodal search, personalised information access and AI-enhanced knowledge discovery.
This Special Issue invites research that advances the modelling, interpretation and incorporation of context, including user intent, interaction history, domain characteristics and data engineering processes, to enable next-generation intelligent and AI-driven information retrieval. Submissions that explore neural, hybrid, multimodal or LLM-based retrieval approaches are particularly welcome.
We welcome original research, system papers, survey papers and application-driven studies from the global scientific community.
Dr. Taha Osman
Guest Editor
Manuscript Submission Information
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Keywords
- context-aware information retrieval
- retrieval-augmented generation (RAG)
- large language models (LLMs)
- neural and hybrid retrieval
- generative AI
- domain and user context modelling
- natural language processing (NLP)
- knowledge-intensive applications
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