PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 9, 20260 citationsOpen Access

NEOMANITAI V7.1 Domain Term-Sets — 15 fields × ~10-20 phenomena (DE/EN/IPA/JSON-LD/TTL/Wikidata)

View Full Paper
AEAndreas Ehstand

Key Points

  • The aim is to present a collection of 15 domain term-sets related to AI and robotics phenomena.
  • Compiled a restricted bundle of 336 files covering various domain term-sets.
  • Provided terminologies in multiple formats including JSON-LD, TTL, and HTML.
  • Ensured compliance with ISO-704 for bilingual terminology corpora.
  • Included 20 terms under AI-Beziehungsphänomene, covering various relational aspects.
  • Produced datasets for terms like AI-EmotionalTransfer and AITrust-Verification with 10 unique entries each.
  • Facilitated strict scientific usage across 15 different fields for enhanced AI and robotics interactions.

Abstract

Restricted bundle of 336 files covering 15 Domain Term-Sets der V7. 1-Generation: AI-Beziehungsphänomene (20 Terme: Ghost Bond, Mirror Lock, Tone Drift, Praise Loop, Share Drift), AIEmotionalTransfer (10: Calm Bridge, Mood Glow, Tone Echo, Warmth Trace, Empathy Drift), AITrust-Verification (10: Authority Echo, Calibration Gap, Doubt Loop, Proof Glow, Trust Pulse), Autonome-Mobilität (10: Arrival Glow, Journey Flow, Steering Ghost, Route Drift, Threshold Signal), KI-Berufsidentität (10), KI-Gedächtnis-Kontinuität (10), KI-Gruppendynamik (10), KI-Kognitionsverstärkung (10), KI-Kreativkollaboration (10), KI-Lerndynamik (10), Positive-Robotik-Interaktion (10), RoboticsEmbodiment (10), Robotik-Autonomiereaktion (10), Robotik-Interaktion (10), Sprach-KI-Interaktion (10). Jeder Term mit termsₘaster. csv + JSON-LD-Dataset + Turtle-RDF + Wikidata-QuickStatements + CITATION. cff + per-term HTML-Pages. Strict-Wissenschaft, ISO-704-konforme bilinguale Terminologie-Korpora.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Andreas Ehstand (2026) studied this question.

synapsesocial.com/papers/69fed0e2b9154b0b82877f49https://doi.org/10.5281/zenodo.20060992
Ask AI
Helpful
Bookmark
Share
View Full Paper