Assessing Ontology Mappings on a Level of Concepts and Instances
In recent years, the number of domain ontologies on the Internet has been steadily increasing. Many ontologies describe overlapping universes of discourse in various ways, therefore, the need for an efficient ontology alignment method is required. Currently, there are many solutions for this problem...
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doaj-9c8ad477fe67460fa6fe2031ca9fecb22021-03-30T04:24:02ZengIEEEIEEE Access2169-35362020-01-01817484517485910.1109/ACCESS.2020.30263979205236Assessing Ontology Mappings on a Level of Concepts and InstancesMarcin Pietranik0https://orcid.org/0000-0003-4255-889XAdrianna Kozierkiewicz1https://orcid.org/0000-0001-8445-3979Mateusz Wesolowski2Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, PolandFaculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, PolandFaculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, PolandIn recent years, the number of domain ontologies on the Internet has been steadily increasing. Many ontologies describe overlapping universes of discourse in various ways, therefore, the need for an efficient ontology alignment method is required. Currently, there are many solutions for this problem. However, the only known way to evaluate their output is to confront it with some pre-prepared reference alignment, therefore making it impossible to incorporate in real-world applications where no reference alignment is given. This paper presents some innovative methods of evaluating ontology alignments which allows assessing their quality without the aforementioned reference alignment. The main contribution are formal foundations of such methods, algorithms developed based on those foundations, and an experimental verification of their usefulness.https://ieeexplore.ieee.org/document/9205236/Knowledge-based systemsknowledge managementontology alignment |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marcin Pietranik Adrianna Kozierkiewicz Mateusz Wesolowski |
spellingShingle |
Marcin Pietranik Adrianna Kozierkiewicz Mateusz Wesolowski Assessing Ontology Mappings on a Level of Concepts and Instances IEEE Access Knowledge-based systems knowledge management ontology alignment |
author_facet |
Marcin Pietranik Adrianna Kozierkiewicz Mateusz Wesolowski |
author_sort |
Marcin Pietranik |
title |
Assessing Ontology Mappings on a Level of Concepts and Instances |
title_short |
Assessing Ontology Mappings on a Level of Concepts and Instances |
title_full |
Assessing Ontology Mappings on a Level of Concepts and Instances |
title_fullStr |
Assessing Ontology Mappings on a Level of Concepts and Instances |
title_full_unstemmed |
Assessing Ontology Mappings on a Level of Concepts and Instances |
title_sort |
assessing ontology mappings on a level of concepts and instances |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
In recent years, the number of domain ontologies on the Internet has been steadily increasing. Many ontologies describe overlapping universes of discourse in various ways, therefore, the need for an efficient ontology alignment method is required. Currently, there are many solutions for this problem. However, the only known way to evaluate their output is to confront it with some pre-prepared reference alignment, therefore making it impossible to incorporate in real-world applications where no reference alignment is given. This paper presents some innovative methods of evaluating ontology alignments which allows assessing their quality without the aforementioned reference alignment. The main contribution are formal foundations of such methods, algorithms developed based on those foundations, and an experimental verification of their usefulness. |
topic |
Knowledge-based systems knowledge management ontology alignment |
url |
https://ieeexplore.ieee.org/document/9205236/ |
work_keys_str_mv |
AT marcinpietranik assessingontologymappingsonalevelofconceptsandinstances AT adriannakozierkiewicz assessingontologymappingsonalevelofconceptsandinstances AT mateuszwesolowski assessingontologymappingsonalevelofconceptsandinstances |
_version_ |
1724181900978814976 |