AgreementMakerDeep (AMD) is a new flexible and extensible ontology matching system with knowledge graph embedding techniques
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Updated
May 20, 2024 - Python
AgreementMakerDeep (AMD) is a new flexible and extensible ontology matching system with knowledge graph embedding techniques
Terminological Ontological Coverage (TOCo) is a package designed for keyword and ontology comparison. This package allows users to extract keywords from documents using various methods and compare their coverage against specified ontological concepts.
LLMs4OM: Matching Ontologies with Large Language Models
BERTMap: A BERT-Based Ontology Alignment System
A series of articles by CEAIT Team of Digital Catapult
Semi-Automated Design of Ontologies
MELT - Matching EvaLuation Toolkit
An Ontology Model for the Design and Performance Properties in the Quantum Cascade Laser Domain
LogMap: An Ontology Alignment and Alignment Repair System
LLM examples for the state of the art problems in knowledge graphs
This serves as source code for paper: Ontology Matching using Textual Class Descriptions
Python library that classifies content from scientific papers with the topics of the Computer Science Ontology (CSO).
Rare disease identification from free-text clinical notes with ontologies and weak supervision
Code used in paper "Ontology Matching Through Absolute Orientation of Embedding Spaces" (“nominated for best poster paper at ESWC 2022”)
Semantic web application from an end-to-end perspective. Build an application , including building the RDF graphes that it uses, associate those graphes with a proper vocabulary (or even better, an ontology) and write the queries that will be used within the application.
Simply merging multiple OWL ontologies using pairwise RDF alignments (This OIAR version is written in OWL API 5.1)
Simply merging multiple OWL ontologies using pairwise RDF alignments (This OIAR version is written in OWL API 4.5)
Fully merging multiple OWL ontologies using pairwise RDF alignments (This AROM version is written in OWL API 5.1)
Fully merging multiple OWL ontologies using pairwise RDF alignments (This AROM version is written in OWL API 4.5)
Refactoring and simply merging multiple OWL ontologies using pairwise RDF ontology alignments
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