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A rule-based DSS for transforming automatically-generated alignments into information integration alignments

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iiWAS '17: Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services

Pages 181 - 187

https://doi.org/10.1145/3151759.3151837

Published: 04 December 2017 Publication History

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Abstract

Analysis of automatically-generated alignments shows that ambiguous situations are quite common, preventing their application in scenarios demanding high quality and completeness, such ontology mediation (e.g. data transformation and information/knowledge integration). Even the best-performing alignment needs to be manually corrected, completed and verified before application. In this paper, we propose a decision support system (DSS) based in a general-purpose rule engine that assists the expert on improving and completing the automatically-generated alignments into fully-fledged alignments, balancing the precision and recall of the system with the user participation in the process. For that, the rules capture the preconditions (existing facts) and the actions to solve each (ambiguous) alignment scenario, in which the expert decision will be adopted in further automatic decisions. The evaluation of the proposed DSS shows the gain in reducing the need for expert's decisions while increasing the accuracy of the alignments.

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Cited By

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Gouveia AMaio PSilva NLopes R(2019)DSS-Based Ontology Alignment in Solid Reference System ConfigurationHybrid Intelligent Systems10.1007/978-3-030-14347-3_52(530-539)Online publication date: 21-Mar-2019
https://doi.org/10.1007/978-3-030-14347-3_52
Figueiredo EMaio PSilva NLopes R(2018)DSL-Based Configuration of Solid Referential Management System: A Case Study2018 International Conference on Computational Science and Computational Intelligence (CSCI)10.1109/CSCI46756.2018.00176(890-894)Online publication date: Dec-2018
https://doi.org/10.1109/CSCI46756.2018.00176

Index Terms

A rule-based DSS for transforming automatically-generated alignments into information integration alignments
1. Information systems

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Published In

iiWAS '17: Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services

December 2017

609 pages

ISBN:9781450352994

DOI:10.1145/3151759

Editors:
Maria Indrawan-Santiago
Monash University, Australia
,
Matthias Steinbauer
Johannes Kepler University Linz, Austria
,
Ivan Luiz Salvadori
Federal University of Santa Catarina, Brazil
,
Ismail Khalil
Johannes Kepler University Linz, Austria
,
Gabriele Anderst-Kotsis
Johannes Kepler University Linz, Austria

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Published: 04 December 2017

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iiWAS2017: The 19th International Conference on Information Integration and Web-based Applications & Services

December 4 - 6, 2017

Salzburg, Austria

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Gouveia AMaio PSilva NLopes R(2019)DSS-Based Ontology Alignment in Solid Reference System ConfigurationHybrid Intelligent Systems10.1007/978-3-030-14347-3_52(530-539)Online publication date: 21-Mar-2019
https://doi.org/10.1007/978-3-030-14347-3_52
Figueiredo EMaio PSilva NLopes R(2018)DSL-Based Configuration of Solid Referential Management System: A Case Study2018 International Conference on Computational Science and Computational Intelligence (CSCI)10.1109/CSCI46756.2018.00176(890-894)Online publication date: Dec-2018
https://doi.org/10.1109/CSCI46756.2018.00176

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Aligning alignments exactly

Using MOEA/D for optimizing ontology alignments

Optimal alignment of multiple sequence alignments

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