loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Adrianna Kozierkiewicz ; Marcin Pietranik and Karolina Kania

Affiliation: Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland

Keyword(s): Ontology Alignment, Ontology Evolution, Knowledge Management.

Abstract: In the modern days, users cannot expect that ontologies in their initial states won’t remain static throughout the lifespan of their application, therefore a tool for managing appearing alterations is necessary. In our previous work, we have prepared a solid, formal, and flexible foundation that can be used to express changes that appear while maintained ontologies evolve. This paper contains a description of the process of constructing a method assessing knowledge increase after an ontology alignment update. Our developed measure estimates how ontology evolution influenced the increase of knowledge for two input ontologies. The developed method has been experimentally verified by simulating random ontology evolutions ad the obtained results have been statistically analyzed. Due to the limitation of this paper, we focus only on the concept level.

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 3.143.25.53

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:
Kozierkiewicz, A.; Pietranik, M. and Kania, K. (2021). A Method for Estimating Potential Knowledge Increase after Updating Ontology Mapping. In Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE; ISBN 978-989-758-508-1; ISSN 2184-4895, SciTePress, pages 173-180. DOI: 10.5220/0010362001730180

@conference{enase21,
author={Adrianna Kozierkiewicz. and Marcin Pietranik. and Karolina Kania.},
title={A Method for Estimating Potential Knowledge Increase after Updating Ontology Mapping},
booktitle={Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE},
year={2021},
pages={173-180},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010362001730180},
isbn={978-989-758-508-1},
issn={2184-4895},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Evaluation of Novel Approaches to Software Engineering - ENASE
TI - A Method for Estimating Potential Knowledge Increase after Updating Ontology Mapping
SN - 978-989-758-508-1
IS - 2184-4895
AU - Kozierkiewicz, A.
AU - Pietranik, M.
AU - Kania, K.
PY - 2021
SP - 173
EP - 180
DO - 10.5220/0010362001730180
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: [email protected]

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic