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38 lines (38 loc) · 1.5 KB
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cff-version: 1.2.0
title: RDF-tensor – data tensor literals in RDF and SPARQL
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- name: NeverBlink
website: 'https://neverblink.eu'
email: contact@neverblink.eu
- name: Piotr Marciniak
- name: Piotr Sowiński
website: 'https://ostrzyciel.eu'
- name: RDF-tensor contributors
website: >-
https://github.com/NeverBlink-OSS/rdf-tensor/graphs/contributors
repository-code: 'https://github.com/NeverBlink-OSS/rdf-tensor'
url: 'https://w3id.org/rdf-tensor'
abstract: >-
RDF-tensor is an extension to RDF and SPARQL that introduces 2 new datatypes, dozens of SPARQL functions, and new aggregates to allow for processing of data tensors within RDF graphs. A data tensor is a multi-dimensional array of values, which can be numeric or boolean, commonly used for example in machine learning embeddings.
license: Apache-2.0
preferred-citation:
type: conference-paper
authors:
- family-names: "Marciniak"
given-names: "Piotr"
- family-names: "Sowiński"
given-names: "Piotr"
- family-names: "Ganzha"
given-names: "Maria"
collection-title: "Curry, E., et al. The Semantic Web: ESWC 2025 Satellite Events. ESWC 2025. Lecture Notes in Computer Science"
collection-type: proceedings
publisher:
name: "Springer, Cham"
url: "https://doi.org/10.1007/978-3-031-99554-5_12"
volume: "15832"
title: "Representing and Querying Data Tensors in RDF and SPARQL"
year: 2025