The University of Southampton
University of Southampton Institutional Repository

From shapes to shapes: inferring SHACL shapes for results of SPARQL CONSTRUCT queries

From shapes to shapes: inferring SHACL shapes for results of SPARQL CONSTRUCT queries
From shapes to shapes: inferring SHACL shapes for results of SPARQL CONSTRUCT queries
Seifer, Philipp
cf4777a9-262b-4de1-bda4-46e4a989bfbc
Hernandez, Daniel
39723173-ccff-4015-b506-cec5aec76936
Lämmel, Ralf
88466e78-a512-4c70-ad31-7d50c4006b7f
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49
Seifer, Philipp
cf4777a9-262b-4de1-bda4-46e4a989bfbc
Hernandez, Daniel
39723173-ccff-4015-b506-cec5aec76936
Lämmel, Ralf
88466e78-a512-4c70-ad31-7d50c4006b7f
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49

Seifer, Philipp, Hernandez, Daniel, Lämmel, Ralf and Staab, Steffen (2024) From shapes to shapes: inferring SHACL shapes for results of SPARQL CONSTRUCT queries. 2024 ACM Web Conference, Resorts World Sentosa Convention Centre, Singapore, Singapore. 13 - 17 May 2024. (In Press)

Record type: Conference or Workshop Item (Paper)
Text
2402.08509 - Author's Original
Download (941kB)

More information

Accepted/In Press date: 3 March 2024
Venue - Dates: 2024 ACM Web Conference, Resorts World Sentosa Convention Centre, Singapore, Singapore, 2024-05-13 - 2024-05-17

Identifiers

Local EPrints ID: 487861
URI: http://eprints.soton.ac.uk/id/eprint/487861
PURE UUID: 2cd21f6a-dcec-4048-bbc6-4726bbb9d05c
ORCID for Steffen Staab: ORCID iD orcid.org/0000-0002-0780-4154

Catalogue record

Date deposited: 07 Mar 2024 17:33
Last modified: 18 Mar 2024 03:32

Export record

Contributors

Author: Philipp Seifer
Author: Daniel Hernandez
Author: Ralf Lämmel
Author: Steffen Staab ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×