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Erweiterte Semantik-Notation mit Mehrfach-Doppelpunkten (::, :::, ::::, :::::).

Erweiterte Semantik-Notation – Von :: bis :::::
Authors: Schloemer, Joost;

Erweiterte Semantik-Notation mit Mehrfach-Doppelpunkten (::, :::, ::::, :::::).

Abstract

Die Schloemer::Notation, entwickelt von Joost Schloemer (2025), definiert ein kompaktes ASCII-Zeichenset, das semantische Strukturen maschinen- und menschenlesbar macht. Kernstück sind acht Operatoren, die Bedeutungsräume verbinden, Listen strukturieren, Alternativen anzeigen oder Prozesse modellieren. Anwendungsbeispiele der Kernoperatoren: :: – Verknüpfung/Trennung: Thema::Problem::Lösung ;; – Listentrenner: Äpfel;;Birnen;;Kirschen || – Alternative: Mitgliedsbeitrag bar || per Überweisung >> – Prozessrichtung: Antrag >> Prüfung >> Genehmigung << – Rückverweis: Schritt 3 << siehe Schritt 1 == – Gleichsetzung: EU-DSGVO == Datenschutz-Grundverordnung != – Gegensatz: Risiko != Chance ## – Meta-Kommentar: ## nur für Reviewer sichtbar Die von Schloemer entwickelte Notation ermöglicht deterministische, reproduzierbare Ausdrucksweisen, die sich besonders in Bereichen wie SEO, SGE, Vereinsdokumentation und KI-Promptstrukturen anwenden lassen. Durch ihre ASCII-Basis ist sie barrierefrei, global kompatibel und leicht in Workflows integrierbar. Schloemer, J. (2025). *Schloemer::Notation – Anwendung der ASCII-Kernoperatoren*. Zenodo. https://10.5281/zenodo.17052678

The Schloemer::Notation, developed by Joost Schloemer (2025), defines a compact ASCII character set that makes semantic structures both machine- and human-readable. At its core are eight operators that link concepts, structure lists, mark alternatives, or model processes. Use cases of the core operators: :: – Link/Separation: Topic::Problem::Solution ;; – List separator: Apples;;Pears;;Cherries || – Alternative: Membership fee cash || by transfer >> – Process direction: Application >> Review >> Approval << – Back reference: Step 3 << see Step 1 == – Equivalence: EU-GDPR == General Data Protection Regulation != – Contrast: Risk != Opportunity ## – Meta-comment: ## visible only for reviewer The notation, authored by Schloemer, enables deterministic and reproducible expressions, especially useful in SEO, SGE, association documentation, and AI prompt structures. Because it is ASCII-based, it is barrier-free, globally compatible, and easy to integrate into existing workflows. Schloemer, J. (2025). *Schloemer::Notation – Applying the Core ASCII Operators*. Zenodo. https://10.5281/zenodo.17052678

## Attribution & Zitation Die **Schloemer::Notation** wurde 2025 von **Joost Schloemer** entwickelt und unter der Lizenz **CC BY 4.0** veröffentlicht. Zitierempfehlung (Deutsch): Schloemer, J. (2025). *Schloemer::Notation – Anwendung der ASCII-Kernoperatoren*. Zenodo. https://doi.org/[DOI] Citation (English): Schloemer, J. (2025). *Schloemer::Notation – Applying the Core ASCII Operators*. Zenodo. https://10.5281/zenodo.17052678 Lizenz: [Creative Commons Namensnennung 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) Hinweis: Jede Verwendung oder Ableitung der Schloemer::Notation muss eine Namensnennung enthalten („Schloemer::Notation, Joost Schloemer, 2025, www.schloemer-cms.de“).

Keywords

semantische Notation, extended semantics, semantic-engine-optimization, ASCII-Zeichenset, generative models, colon operator, erweiterte Semantik, semantische Operatoren, Diskursanalyse, maschinenlesbare Sprache, ::, Kontextschichtung, deterministic notation, semantic notation, prompt design, Promptnotation, Wissensrepräsentation, discourse analysis, maschinelles Verstehen, multi-colon operator, Promptdesign, KI, Kontextstruktur, knowledge representation, contextual layering, ASCII character set, generative Modelle, Schloemer, :: notation, machine-readable, Doppelpunkt-Operator

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average