The University of Southampton
University of Southampton Institutional Repository

Ontology enrichment by discovering multi-relational association rules from ontological knowledge bases

Ontology enrichment by discovering multi-relational association rules from ontological knowledge bases
Ontology enrichment by discovering multi-relational association rules from ontological knowledge bases
d'Amato, Claudia
c72885c6-1e09-40ea-9e48-b3c8b23ebb95
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49
Tettamanzi, Andrea
f093b973-7403-4dd5-92d4-60cd801972e8
Duc Minh, Tran
11171c82-d33e-479e-b0f5-816b4831f780
Gandon, Fabien
5b23cea9-1387-4a1c-84d5-dc868e674a67
d'Amato, Claudia
c72885c6-1e09-40ea-9e48-b3c8b23ebb95
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49
Tettamanzi, Andrea
f093b973-7403-4dd5-92d4-60cd801972e8
Duc Minh, Tran
11171c82-d33e-479e-b0f5-816b4831f780
Gandon, Fabien
5b23cea9-1387-4a1c-84d5-dc868e674a67

d'Amato, Claudia, Staab, Steffen, Tettamanzi, Andrea, Duc Minh, Tran and Gandon, Fabien (2016) Ontology enrichment by discovering multi-relational association rules from ontological knowledge bases. SAC2016: 31st ACM Symposium on Applied Computing, Pisa, Italy. 03 - 07 Apr 2016. 6 pp .

Record type: Conference or Workshop Item (Paper)
Text
SAC - SWA 2016.pdf - Accepted Manuscript
Download (4kB)

More information

e-pub ahead of print date: April 2016
Venue - Dates: SAC2016: 31st ACM Symposium on Applied Computing, Pisa, Italy, 2016-04-03 - 2016-04-07
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 393351
URI: http://eprints.soton.ac.uk/id/eprint/393351
PURE UUID: 1cd14bff-f3fe-44e8-8d76-b6abc8ae1b27
ORCID for Steffen Staab: ORCID iD orcid.org/0000-0002-0780-4154

Catalogue record

Date deposited: 26 Apr 2016 14:30
Last modified: 15 Sep 2021 02:04

Export record

Contributors

Author: Claudia d'Amato
Author: Steffen Staab ORCID iD
Author: Andrea Tettamanzi
Author: Tran Duc Minh
Author: Fabien Gandon

University divisions

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.

×