Concept-based human-machine knowledge system
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Autor:innen
Autor:in (Körperschaft)
Publikationsdatum
2025
Typ der Arbeit
Studiengang
Typ
04B - Beitrag Konferenzschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC). Proceedings
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
4342-4345
Patentnummer
Verlag / Herausgebende Institution
IEEE
Verlagsort / Veranstaltungsort
Wien
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
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.
Schlagwörter
Veranstaltung
2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
05.10.2025
Enddatum der Konferenz
08.10.2025
Datum der letzten Prüfung
ISBN
979-8-3315-3358-8
979-8-3315-3357-1
979-8-3315-3357-1
ISSN
Sprache
Andere
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
Fachlektorat/Editorial Review
Open Access-Status
Closed
Zitation
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