Construction of Knowledge System Based on Natural Language Processing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 2603
Special Issue Editor
Special Issue Information
Dear Colleagues,
The rapid advancement of natural language processing (NLP) has profoundly reshaped how knowledge is acquired, represented, and utilized across scientific, industrial, and societal domains. With the emergence of large language models, knowledge graphs, and multimodal foundation models, there is a growing opportunity to move beyond isolated understanding of a text toward the systematic construction of machine-interpretable knowledge systems. Such systems aim to organize, integrate, and reason over large-scale, heterogeneous knowledge sources, enabling more robust intelligent decision-making, scientific discovery, and trustworthy AI applications. Despite notable progress, significant challenges remain in knowledge extraction, representation, alignment, reasoning, evolution, and validation, particularly in complex, dynamic, and domain-specific environments. Addressing these challenges is critical for advancing NLP from surface-level language processing to deep semantic understanding and knowledge-centric intelligence.
We are pleased to invite you to contribute to the Special Issue “Construction of Knowledge System Based on Natural Language Processing”, which aims to provide a focused forum for presenting research regarding recent advances, theoretical foundations, and practical systems that leverage NLP techniques to construct, maintain, and apply structured knowledge systems. This Issue seeks to bridge NLP, knowledge representation, machine reasoning, and domain applications, fostering interdisciplinary research that promotes scalable, explainable, and trustworthy knowledge-driven AI.
Suggested themes and article types for submission:
In this Issue, original research articles and review papers are welcome. Topics of interest include, but are not limited to, the following:
- Knowledge extraction and structuring from unstructured and semi-structured text;
- Knowledge graph construction, completion, and evolution using NLP methods;
- Large language models for knowledge acquisition, organization, and reasoning;
- Hybrid approaches combining symbolic knowledge systems and neural language models;
- Multimodal knowledge system construction integrating text, vision, and other data sources;
- Domain-specific knowledge systems for science, medicine, finance, law, and engineering;
- Causality, reasoning, and inference over knowledge systems;
- Knowledge quality assessment, uncertainty modeling, and trustworthiness;
- Evaluation benchmarks and datasets for knowledge-centric NLP;
- Applications of NLP-based knowledge systems in real-world intelligent systems.
We look forward to your contributions and to fostering a vibrant exchange of ideas that will advance the construction and application of knowledge systems grounded in natural language processing.
Prof. Dr. Lei Sha
Guest Editor
Manuscript Submission Information
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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
- LLM
- NLP
- knowledge graph
- causality reasoning
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