semantic-network

A sophisticated semantic network system capable of encoding inference rules within the network itself. Built for efficient memory usage and powerful logical reasoning, zelph can process the entire Wikidata knowledge graph (1.7TB) to detect contradictions and make logical deductions.

A cross-situational word learning framework

SemaWal: A semantic network resolver in python

Principles Of AI Lab Exercises

Official Implementation of Link Prediction via Node Feature Initialization with LLMs (COLING: Industry Track 2025)

Simple Knowledge base represented as Semantic network , with Prolog language.

Interactive exploration of Leibniz's Monadology through canonical text, curated semantic relationships and progressive graph visualization.

Categorical hypergraph rewriting kernel — semantic functorial network over distributed compute. Go, stdlib-first.

[CIKM 2024] A Learning-path based Supervised Method for Concept Prerequisite Relations Extraction in Educational Data

ConceptNet 🚀🚀 is a powerful semantic network that represents general knowledge in a machine-readable format.

Educational SWI-Prolog expert system demonstrating rule-based reasoning, semantic and frame networks, and Bayesian inference with Dota 2 product data

Taxonomy, prompt, derived outputs, and analysis code for: Prompt-based knowledge acquisition for living sacred heritage (submitted to Data & Knowledge Engineering).

Interactive semantic network visualization of Biblical concepts

MSAGL2 is a Windows Forms application that displays Semantic Networks. It makes use of the 'MSAGL' library. This project is used in the 'Dynamic-Scene-creation-using-Semantic-Networks' repository; Semantic Networks are displayed through this project. https://github.com/gercol01/Dynamic-Scene-creation-using-Semantic-Networks

Implementation of Semantics-Native Communication via Contextual Reasoning

A topic generator with sentiment score built on the semantic network

Reproducible Python project visualizing and animating the evolution of Metaverse research from 2007 to 2020.

Bipartite channel-concept analysis of Belarusian pro-government Telegram channels — companion to Sulzhytski & Kulhayeva (Intersections EEJSP 2025).

ことばを落として、意味の距離と関係がゆっくり育つ様子を眺める、小さな言葉の温室。A tiny experimental toy by 月野テンプレクス.