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MERA: A Musical Entities Reconciliation Architecture Based on Semantic Technologies

MERA: A Musical Entities Reconciliation Architecture Based on Semantic Technologies

Daniel Fernández-Álvarez (Department of Computer Science, University of Oviedo, Oviedo, Spain), Jose Emilio Labra Gayo (University of Oviedo, Oviedo, Spain), Daniel Gayo-Avello (Department of Computer Science, University of Oviedo, Oviedo, Spain), and Patricia Ordóñez de Pablos (Department of Business Administration. Faculty of Economics and Business, University of Oviedo, Oviedo, Spain)
Copyright: © 2017 |Volume: 13 |Issue: 4 |Pages: 26
ISSN: 1552-6283|EISSN: 1552-6291|EISBN13: 9781522511601|DOI: 10.4018/IJSWIS.2017100103
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MLA

Fernández-Álvarez, Daniel, et al. "MERA: A Musical Entities Reconciliation Architecture Based on Semantic Technologies." IJSWIS vol.13, no.4 2017: pp.42-67. https://doi.org/10.4018/IJSWIS.2017100103

APA

Fernández-Álvarez, D., Gayo, J. E., Gayo-Avello, D., & Ordóñez de Pablos, P. (2017). MERA: A Musical Entities Reconciliation Architecture Based on Semantic Technologies. International Journal on Semantic Web and Information Systems (IJSWIS), 13(4), 42-67. https://doi.org/10.4018/IJSWIS.2017100103

Chicago

Fernández-Álvarez, Daniel, et al. "MERA: A Musical Entities Reconciliation Architecture Based on Semantic Technologies," International Journal on Semantic Web and Information Systems (IJSWIS) 13, no.4: 42-67. https://doi.org/10.4018/IJSWIS.2017100103

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Abstract

In this paper, the authors describe Musical Entities Reconciliation Architecture (MERA), an architecture designed to link music-related databases adapting the reconciliation techniques to each particular case. MERA includes mechanisms to manage third party sources to improve the results and it makes use of semantic technologies, storing and organizing the information in RDF graphs. They have implemented a prototype of their approach and have used it to link sources with different levels of data quality. The prototype has been effective in more than 94% of the cases under the conditions of their experiments. The authors have also compared their prototype with a well-known music-specialized search engine, outperforming the search results in the two experiments that they performed.

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