Ontology Embedding

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Most implemented papers archive 2025-07-28

15 shown of 15 papers with code (18 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Dual Box Embeddings for the Description Logic EL++
  26 Jan 2023 2 repositories listed
  OWL ontologies, whose formal semantics are rooted in Description Logic (DL), have been widely used for knowledge representation.
• OWL2Vec*: Embedding of OWL Ontologies
  30 Sep 2020 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  Semantic embedding of knowledge graphs has been widely studied and used for prediction and statistical analysis tasks across various domains such as Natural Language Processing and the Semantic Web.
• DELE: Deductive ℰℒ⁺⁺ Embeddings for Knowledge Base Completion
  3 Nov 2024 1 repository listed
  Ontology embeddings map classes, relations, and individuals in ontologies into ℝⁿ, and within ℝⁿ similarity between entities can be computed or new axioms inferred.
• OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment
  12 Aug 2024 1 repository listed
  Ontology alignment is integral to achieving semantic interoperability as the number of available ontologies covering intersecting domains is increasing.
• Ontology Embedding: A Survey of Methods, Applications and Resources
  16 Jun 2024 1 repository listed
  Ontologies are widely used for representing domain knowledge and meta data, playing an increasingly important role in Information Systems, the Semantic Web, Bioinformatics and many other domains.
• Enhancing Geometric Ontology Embeddings for ℰℒ⁺⁺ with Negative Sampling and Deductive Closure Filtering
  8 May 2024 1 repository listed
  Ontology embeddings map classes, relations, and individuals in ontologies into ℝⁿ, and within ℝⁿ similarity between entities can be computed or new axioms inferred.
• Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
  13 Mar 2024 1 repository listed
  Predictive process monitoring is a process mining task aimed at forecasting information about a running process trace, such as the most correct next activity to be executed.
• Embedding Ontologies via Incorporating Extensional and Intensional Knowledge
  20 Jan 2024 1 repository listed
  Extensional knowledge provides information about the concrete instances that belong to specific concepts in the ontology, while intensional knowledge details inherent properties, characteristics, and semantic…
• Lattice-preserving 𝒜ℒ𝒞 ontology embeddings with saturation
  11 May 2023 1 repository listed
  Although some approaches aim to embed more descriptive DLs like 𝒜ℒ𝒞, those methods require the existence of individuals, while many real-world ontologies are devoid of them.
• From axioms over graphs to vectors, and back again: evaluating the properties of graph-based ontology embeddings
  29 Mar 2023 1 repository listed
  Several approaches have been developed that generate embeddings for Description Logic ontologies and use these embeddings in machine learning.
• Disentangled Ontology Embedding for Zero-shot Learning
  8 Jun 2022 1 repository listed
  In this paper, we focus on ontologies for augmenting ZSL, and propose to learn disentangled ontology embeddings guided by ontology properties to capture and utilize more fine-grained class relationships in different…
• OntoProtein: Protein Pretraining With Gene Ontology Embedding
  23 Jan 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  We construct a novel large-scale knowledge graph that consists of GO and its related proteins, and gene annotation texts or protein sequences describe all nodes in the graph.
• MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning
  20 Jul 2021 1 repository listed
  Hence, some recent works train healthcare representations by incorporating medical ontology, by self-supervised tasks like diagnosis prediction, but (1) the small-scale, monotonous ontology is insufficient for robust…
• OntoED: Low-resource Event Detection with Ontology Embedding
  23 May 2021 1 repository listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  Most of current methods to ED rely heavily on training instances, and almost ignore the correlation of event types.
• Ontology-guided Semantic Composition for Zero-Shot Learning
  30 Jun 2020 1 repository listed
  Zero-shot learning (ZSL) is a popular research problem that aims at predicting for those classes that have never appeared in the training stage by utilizing the inter-class relationship with some side information.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.