research-article

RODI: : Benchmarking relational-to-ontology mapping generation quality

Editors: Amrapali Zaveri, Dimitris Kontokostas, Sebastian Hellmann, Jürgen Umbrich Authors: Christoph Pinkel, Carsten Binnig, Ernesto Jiménez-Ruiz, Evgeny Kharlamov, Wolfgang May, Andriy Nikolov, Ana Sasa Bastinos, Martin G. Skjæveland, Alessandro Solimando, Mohsen Taheriyan, Christian Heupel, Ian HorrocksAuthors Info & Claims

Semantic Web, Volume 9, Issue 1

Pages 25 - 52

https://doi.org/10.3233/SW-170268

Published: 01 January 2018 Publication History

Abstract

Accessing and utilizing enterprise or Web data that is scattered across multiple data sources is an important task for both applications and users. Ontology-based data integration, where an ontology mediates between the raw data and its consumers, is a promising approach to facilitate such scenarios. This approach crucially relies on useful mappings to relate the ontology and the data, the latter being typically stored in relational databases. A number of systems to support the construction of such mappings have recently been developed. A generic and effective benchmark for reliable and comparable evaluation of the practical utility of such systems would make an important contribution to the development of ontology-based data integration systems and their application in practice. We have proposed such a benchmark, called RODI. In this paper, we present a new version of RODI, which significantly extends our previous benchmark, and we evaluate various systems with it. RODI includes test scenarios from the domains of scientific conferences, geographical data, and oil and gas exploration. Scenarios are constituted of databases, ontologies, and queries to test expected results. Systems that compute relational-to-ontology mappings can be evaluated using RODI by checking how well they can handle various features of relational schemas and ontologies, and how well the computed mappings work for query answering. Using RODI, we conducted a comprehensive evaluation of seven systems.

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Cited By

Zhou DZhou BChen JCheng GKostylev EKharlamov E(2021)Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch WeldingProceedings of the 10th International Joint Conference on Knowledge Graphs10.1145/3502223.3502243(145-150)Online publication date: 6-Dec-2021
https://dl.acm.org/doi/10.1145/3502223.3502243
Zhou BZhou DChen JSvetashova YCheng GKharlamov E(2021)Scaling Usability of ML Analytics with Knowledge Graphs: Exemplified with A Bosch Welding CaseProceedings of the 10th International Joint Conference on Knowledge Graphs10.1145/3502223.3502230(54-63)Online publication date: 6-Dec-2021
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Thiéblin EHaemmerlé OHernandez NTrojahn C(2020)Survey on complex ontology matchingSemantic Web10.3233/SW-19036611:4(689-727)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.3233/SW-190366
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RODI: Benchmarking relational-to-ontology mapping generation quality

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cover image Semantic Web

Semantic Web Volume 9, Issue 1

Quality management of Semantic Web assets (data, services and systems)

2018

148 pages

ISSN:1570-0844

EISSN:2210-4968

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© 2018 – IOS Press and the authors. All rights reserved.

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IOS Press

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Published: 01 January 2018

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Cited By

Zhou DZhou BChen JCheng GKostylev EKharlamov E(2021)Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch WeldingProceedings of the 10th International Joint Conference on Knowledge Graphs10.1145/3502223.3502243(145-150)Online publication date: 6-Dec-2021
https://dl.acm.org/doi/10.1145/3502223.3502243
Zhou BZhou DChen JSvetashova YCheng GKharlamov E(2021)Scaling Usability of ML Analytics with Knowledge Graphs: Exemplified with A Bosch Welding CaseProceedings of the 10th International Joint Conference on Knowledge Graphs10.1145/3502223.3502230(54-63)Online publication date: 6-Dec-2021
https://dl.acm.org/doi/10.1145/3502223.3502230
Thiéblin EHaemmerlé OHernandez NTrojahn C(2020)Survey on complex ontology matchingSemantic Web10.3233/SW-19036611:4(689-727)Online publication date: 1-Jan-2020
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