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Data · dataset · 2025

Transformation of natural language Q&A texts in RDF triples

Listed in REDU - Unicamp Institutional Research Data Repository

Description

Data generated by the QART framework (Questions and Answers to RDF Triples) in the context of the author's Ph.D. thesis entitled "Enhancing Knowledge Graphs with Large Language Models: Contributions to E-commerce Question Answering Systems". It is available in the public university respository: gitlab.ic.unicamp.br/jreis/qart

Links

Where it is published

Catalogue records · 1

Topics

From keywords
Economics & Finance
Inferred from text
Natural language processing 76%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
REDU - Unicamp Institutional Research Data Repositorydoi:10.25824/redu/RRGTKC12 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:460208enrichment · redu unicamp brtaxonomy-embedding@1.1.0title+keywords+description (76%)
concepts[field].dataverse_subject:computer-and-information-sciencesource · redu unicamp brconnector:redu_unicamp_br@1.0.0/subjects
concepts[field].local:field:economics-financemapping · redu unicamp brconnector:redu_unicamp_br@1.0.0/subjects
created_datesource · redu unicamp brconnector:redu_unicamp_br@1.0.0
descriptionsource · redu unicamp brconnector:redu_unicamp_br@1.0.0/description
publication_datesource · redu unicamp brconnector:redu_unicamp_br@1.0.0
titlesource · redu unicamp brconnector:redu_unicamp_br@1.0.0/name
updated_datesource · redu unicamp brconnector:redu_unicamp_br@1.0.0
version_labelsource · redu unicamp brconnector:redu_unicamp_br@1.0.0