loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Alcides Lopes ; Joel Carbonera ; Nicolau Santos ; Fabricio Rodrigues ; Luan Garcia and Mara Abel

Affiliation: Universidade Federal do Rio Grande do Sul, Institute of Informatics, Porto Alegre, Brazil

Keyword(s): Top-Level Ontology Classification, Cross-Domain Classification, Informal Definition, Language Model.

Abstract: Classifying domain entities into top-level ontology concepts using informal definitions remains an active research area with several open questions. One of these questions pertains to the quality of proposed pipelines employing language models for classifying informal definitions when training and testing samples are from different knowledge domains. This can introduce challenges due to varying vocabularies across domains or the potential for an entity to belong to different top-level concepts based on its domain. In this study, we present a study case where terms and informal definitions are extracted from 81 domain ontologies organized into 12 knowledge domains. We investigate the performance of a pipeline that utilizes the BERT language model for classifying domain entities into top-level concepts within a cross-domain classification scenario. Additionally, we explore various pipeline setups for input, preprocessing, and training steps. Our optimal classifier setup employs an unba lanced training methodology, no text preprocessing, and the concatenation of terms and informal definitions as input. Furthermore, we demonstrate that BERT yields promising results in classifying domain entities into top-level concepts within a cross-domain classification scenario. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.220.6.150

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Lopes, A.; Carbonera, J.; Santos, N.; Rodrigues, F.; Garcia, L. and Abel, M. (2024). Cross-Domain Classification of Domain Entities into Top-Level Ontology Concepts Using BERT: A Study Case on the BFO Domain Ontologies. In Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-692-7; ISSN 2184-4992, SciTePress, pages 141-148. DOI: 10.5220/0012557600003690

@conference{iceis24,
author={Alcides Lopes. and Joel Carbonera. and Nicolau Santos. and Fabricio Rodrigues. and Luan Garcia. and Mara Abel.},
title={Cross-Domain Classification of Domain Entities into Top-Level Ontology Concepts Using BERT: A Study Case on the BFO Domain Ontologies},
booktitle={Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2024},
pages={141-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012557600003690},
isbn={978-989-758-692-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Cross-Domain Classification of Domain Entities into Top-Level Ontology Concepts Using BERT: A Study Case on the BFO Domain Ontologies
SN - 978-989-758-692-7
IS - 2184-4992
AU - Lopes, A.
AU - Carbonera, J.
AU - Santos, N.
AU - Rodrigues, F.
AU - Garcia, L.
AU - Abel, M.
PY - 2024
SP - 141
EP - 148
DO - 10.5220/0012557600003690
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic