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Data · dataset · 2024

Code for Faithful Embeddings for EL++ Knowledge Bases

Listed in DaRUS

This is the official pytorch implementation of the paper "Faithful embeddings for EL++ Knowledge Bases" published in ISWC 2022.

Description

The code was implemented based on el-embeddings. The code can be used to reproduce the experiments on subsumption reasoning.

To execute the code, follow the instructions in the README.md file. For more info, please check the paper. Please have no hesitation to contact the authors for any inquiries.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Artificial intelligence 73%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-398913 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4602enrichment · darus uni stuttgart detaxonomy-embedding@1.1.0title+keywords+description (73%)
concepts[field].dataverse_subject:computer-and-information-sciencesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
created_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
descriptionsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/description
publication_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
titlesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/name
updated_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
version_labelsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0