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Collaborative Maintenance of EDOAL Alignments in VocBench

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Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices (IEA/AIE 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12798))

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Abstract

Ontology Alignment, intended in its broadest meaning of alignment between datasets of different nature – thesauri, ontologies, and even mere instance data – is a well-known practice aiming at realizing semantic links between datasets on the (Semantic) Web. Considerable investigation has been carried on the automatic computation of alignments and on how to assess the quality of such process. This is indeed a critical aspect, considering the non-trivial size of many datasets. However, since human intervention is in any case essential, no less care should be paid on scalability both in terms of distribution of work and of maintenance of achieved results within the lifecycle of the aligned resources. In this paper we guide the reader through the diverse solutions that have been implemented in VocBench, a collaborative editing platform for RDF datasets, under a holistic approach to collaborative alignment development and maintenance.

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Notes

  1. 1.

    http://oaei.ontologymatching.org/.

  2. 2.

    https://www.topquadrant.com/products/topbraid-enterprise-data-governance/.

  3. 3.

    http://www.senato.it/tesauro/teseo.html.

  4. 4.

    https://data.europa.eu/euodp/data/dataset/eurovoc.

  5. 5.

    http://groups.google.com/group/vocbench-user.

  6. 6.

    http://vocbench.uniroma2.it.

  7. 7.

    http://linkeddatabook.com/editions/1.0/.

  8. 8.

    https://bitbucket.org/art-uniroma2/maple/src/master/maple-alignment-services-api/src/main/openapi/alignment-services.yaml.

  9. 9.

    https://elex.is/new-out-now-naisc-1-0/.

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Authors and Affiliations

  1. Department of Enterprise Engineering, University of Rome “Tor Vergata”, Via del Politecnico 1, 00133, Rome, Italy

    Armando Stellato, Manuel Fiorelli, Tiziano Lorenzetti & Andrea Turbati

Authors
  1. Armando Stellato
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  2. Manuel Fiorelli
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  3. Tiziano Lorenzetti
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  4. Andrea Turbati
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Corresponding author

Correspondence to Armando Stellato .

Editor information

Editors and Affiliations

  1. i-SOMET Incorporate Association, Morioka, Japan

    Hamido Fujita

  2. Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

    Ali Selamat

  3. Western Norway University of Applied Sciences, Bergen, Norway

    Jerry Chun-Wei Lin

  4. Texas State University San Marcos, San Marcos, TX, USA

    Moonis Ali

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Stellato, A., Fiorelli, M., Lorenzetti, T., Turbati, A. (2021). Collaborative Maintenance of EDOAL Alignments in VocBench. In: Fujita, H., Selamat, A., Lin, J.CW., Ali, M. (eds) Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices. IEA/AIE 2021. Lecture Notes in Computer Science(), vol 12798. Springer, Cham. https://doi.org/10.1007/978-3-030-79457-6_21

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  • DOI: https://doi.org/10.1007/978-3-030-79457-6_21

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