research-article

Predicting incorrect mappings: a data-driven approach applied to DBpedia

Authors:

Nandana Mihindukulasooriya,

Dimitris Kontokostas,

Heiko Paulheim,

Sebastian Hellmann,

Asunción Gómez-PérezAuthors Info & Claims

SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing

Pages 323 - 330

https://doi.org/10.1145/3167132.3167164

Published: 09 April 2018 Publication History

Abstract

DBpedia releases consist of more than 70 multilingual datasets that cover data extracted from different language-specific Wikipedia instances. The data extracted from those Wikipedia instances are transformed into RDF using mappings created by the DBpedia community. Nevertheless, not all the mappings are correct and consistent across all the distinct language-specific DBpedia datasets. As these incorrect mappings are spread in a large number of mappings, it is not feasible to inspect all such mappings manually to ensure their correctness. Thus, the goal of this work is to propose a data-driven method to detect incorrect mappings automatically by analyzing the information from both instance data as well as ontological axioms. We propose a machine learning based approach to building a predictive model which can detect incorrect mappings. We have evaluated different supervised classification algorithms for this task and our best model achieves 93% accuracy. These results help us to detect incorrect mappings and achieve a high-quality DBpedia.

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Cited By

Zeng ZXie CTao WZhu YCai H(2024)Knowledge-Graph-Based IoTs Entity Discovery Middleware for Nonsmart SensorIEEE Transactions on Industrial Informatics10.1109/TII.2023.329254020:2(2551-2563)Online publication date: Feb-2024
https://doi.org/10.1109/TII.2023.3292540
Rasham SKhan HMaqbool FRazzaq SAnwar SIlyas M(2023) Structured knowledge creation for Urdu language: A DBpedia approach Expert Systems10.1111/exsy.13223Online publication date: 14-Jan-2023
https://doi.org/10.1111/exsy.13223
Zheng LCheng PChen LYu JLin XYin J(2022)Crowdsourced Fact Validation for Knowledge Bases2022 IEEE 38th International Conference on Data Engineering (ICDE)10.1109/ICDE53745.2022.00075(938-950)Online publication date: May-2022
https://doi.org/10.1109/ICDE53745.2022.00075
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Predicting incorrect mappings: a data-driven approach applied to DBpedia

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Published In

cover image ACM Conferences

SAC '18: Proceedings of the 33rd Annual ACM Symposium on Applied Computing

April 2018

2327 pages

ISBN:9781450351911

DOI:10.1145/3167132

Conference Chairs:
Hisham M. Haddad
Kennesaw State University
,
Roger L. Wainwright
University of Tulsa
,
Richard Chbeir
University of Pau & Pays Adour, France

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 April 2018

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MINECO

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SAC 2018

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SIGAPP

SAC 2018: Symposium on Applied Computing

April 9 - 13, 2018

Pau, France

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

Zeng ZXie CTao WZhu YCai H(2024)Knowledge-Graph-Based IoTs Entity Discovery Middleware for Nonsmart SensorIEEE Transactions on Industrial Informatics10.1109/TII.2023.329254020:2(2551-2563)Online publication date: Feb-2024
https://doi.org/10.1109/TII.2023.3292540
Rasham SKhan HMaqbool FRazzaq SAnwar SIlyas M(2023) Structured knowledge creation for Urdu language: A DBpedia approach Expert Systems10.1111/exsy.13223Online publication date: 14-Jan-2023
https://doi.org/10.1111/exsy.13223
Zheng LCheng PChen LYu JLin XYin J(2022)Crowdsourced Fact Validation for Knowledge Bases2022 IEEE 38th International Conference on Data Engineering (ICDE)10.1109/ICDE53745.2022.00075(938-950)Online publication date: May-2022
https://doi.org/10.1109/ICDE53745.2022.00075
Nayak ABožić BLongo L(2022)Linked Data Quality Assessment: A SurveyWeb Services – ICWS 202110.1007/978-3-030-96140-4_5(63-76)Online publication date: 18-Feb-2022
https://doi.org/10.1007/978-3-030-96140-4_5
Turki HHadj Taieb MShafee TLubiana TJemielniak DAouicha MLabra Gayo JYoungstrom EBanat MDas DMietchen Don behalf of WikiProject COVID- (2021)Representing COVID-19 information in collaborative knowledge graphs: The case of WikidataSemantic Web10.3233/SW-210444(1-32)Online publication date: 28-Sep-2021
https://doi.org/10.3233/SW-210444
Djebri ATettamanzi AGandon F(2020)Task-Oriented Uncertainty Evaluation for Linked Data Based on Graph InterlinksKnowledge Engineering and Knowledge Management10.1007/978-3-030-61244-3_15(204-215)Online publication date: 27-Oct-2020
https://doi.org/10.1007/978-3-030-61244-3_15
Hertling SPaulheim H(2019)DBkWik: extracting and integrating knowledge from thousands of WikisKnowledge and Information Systems10.1007/s10115-019-01415-5Online publication date: 2-Nov-2019
https://doi.org/10.1007/s10115-019-01415-5
Albertoni R(2019)Applying Predictive Models to Support skos:ExactMatch ValidationMetadata and Semantic Research10.1007/978-3-030-36599-8_16(187-193)Online publication date: 4-Dec-2019
https://doi.org/10.1007/978-3-030-36599-8_16
Lakshen GJanev VVraneš S(2018)Challenges in Quality Assessment of Arabic DBpediaProceedings of the 8th International Conference on Web Intelligence, Mining and Semantics10.1145/3227609.3227675(1-4)Online publication date: 25-Jun-2018
https://dl.acm.org/doi/10.1145/3227609.3227675
Hertling SPaulheim H(2018)DBkWik: A Consolidated Knowledge Graph from Thousands of Wikis2018 IEEE International Conference on Big Knowledge (ICBK)10.1109/ICBK.2018.00011(17-24)Online publication date: Nov-2018
https://doi.org/10.1109/ICBK.2018.00011
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