Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)

Mediating Schema Ontology for Linked Open Data Cloud Integration Using Bottom-Up Schema Mapping

Authors
Heru Agus Santoso1, *, Su-Cheng Haw2, Chien-Sing Lee3
1Faculty of Computer Science, Dian Nuswantoro University, Semarang, Indonesia
2Faculty of Computing and Informatics, Multimedia University, Jalan Multimedia, 63100, Cyberjaya, Malaysia
3School of Engineering and Technology, Sunway University, Petaling Jaya, Malaysia
*Corresponding author. Email: heru.agus.santoso@dsn.dinus.ac.id
Corresponding Author
Heru Agus Santoso
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-094-7_29How to use a DOI?
Keywords
Linked open data cloud; Ontology-based data integration; Mediating schema; Database; Semantic web
Abstract

Flexible data integration from heterogeneous sources, formalization of database schema, and consequent support and facilitation of knowledge discovery have become crucial to gaining competitive advantage. Consequently, its validity (“building the right system”), verification (“building the system right”), and efficiency are key factors, which enable more effective intelligent mining and recommendations. The Linked Open Data Cloud (LoD Cloud) is Cloud-based open data, which can be accessed using open standard protocols, such as HTTP, URL and URI. Enabling automated ontological information integration has commonly involved ontology as a mediator, which reconciles and provides a unified view of data structure, and as a mapping interface with the source database schema. Our approach to ontology versioning creates a mediating ontological layer, which encompasses a set of ontological properties which become updated based on queries by the user. We extend our prior work in terms of the change of data type property, object property and IS-A relationship are included in this paper and method/behavioral changes. The experimental results indicate 87% Precision, 100% Recall and 93% F-measure. These indicate that our approach has successfully captured changes in the database schema as changes in mediated ontology. We have also addressed the problem of change alignment when overlapping topics are discovered in mapping ontologies via formal validation and optimized via description logics consistency checking.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-094-7_29
ISSN
2589-4900
DOI
10.2991/978-94-6463-094-7_29How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Heru Agus Santoso
AU  - Su-Cheng Haw
AU  - Chien-Sing Lee
PY  - 2022
DA  - 2022/12/27
TI  - Mediating Schema Ontology for Linked Open Data Cloud Integration Using Bottom-Up Schema Mapping
BT  - Proceedings of the International Conference on Computer, Information Technology and Intelligent Computing (CITIC 2022)
PB  - Atlantis Press
SP  - 369
EP  - 391
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-094-7_29
DO  - 10.2991/978-94-6463-094-7_29
ID  - Santoso2022
ER  -