Concept-based human-machine knowledge system
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Author (Corporation)
Publication date
2025
Type of student thesis
Course of study
Collections
Type
04B - Conference paper
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Editor (Corporation)
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Parent work
2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Proceedings
Special issue
DOI of the original publication
Link
Series
Series number
Volume
Issue / Number
Pages / Duration
4342-4345
Patent number
Publisher / Publishing institution
IEEE
Place of publication / Event location
Wien
Edition
Version
Programming language
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Practice partner / Client
Abstract
Despite recent advancements, Large Language Models (LLMs) face difficulties in providing reliable and verifiable information, especially in critical domains. It is challenging to find possible hallucinations or manage the intrinsic knowledge of modern models. This paper presents an approach leveraging human-machine cooperation inspired by LLM technologies and Knowledge Graph (KG) structures. The proposed framework enables users to create a hierarchical network of concepts from textual input. Concepts range from characters (low-level) through words (medium-level) to word chains (high-level). The system generates relationships mainly on word co-occurrences within sentences, while leveraging Natural Language Processing (NLP) techniques and statistics for providing recommendations for entities and relations that users then validate and curate through an interactive interface. This cooperation between human and machine embraces the strengths of computational accuracy and storage capability with human cognitive skills. The idea aims to empower users to effectively organise complex information and navigate the information space with ease through the help of strongly connected concepts.
Keywords
Event
2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Exhibition start date
Exhibition end date
Conference start date
05.10.2025
Conference end date
08.10.2025
Date of the last check
ISBN
979-8-3315-3358-8
979-8-3315-3357-1
979-8-3315-3357-1
ISSN
Language
Other
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Expert editing/editorial review
Open access category
Closed
Citation
Jakober, L., & Christen, P. (2025). Concept-based human-machine knowledge system. 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Proceedings, 4342–4345. https://doi.org/10.1109/smc58881.2025.11342885