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crowd: A Visual Tool for Involving Stakeholders into Ontology Engineering Tasks

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Abstract

We present crowd, a web-based visual tool for ontology engineering tasks. Its aim is to involve ontology developers and domain experts into a collaborative comprehension and design of conceptual models, enhancing the communication between them and assessing their quality by fully integrating automatic reasoning in the tool. In this paper we briefly describe the initial requirements, architecture and user interface, and make an evaluation based on a use case and a comparison with related tools.

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Notes

  1. http://crowd.fi.uncoma.edu.ar/.

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Authors and Affiliations

  1. Facultad de Informática, Universidad Nacional Nacional del Comahue, Neuquén, Argentina

    Germán Braun, Christian Gimenez & Laura Cecchi

  2. Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina

    Germán Braun

  3. Departamento de Ciencias e Ingeniería de la Computacián, Universidad Nacional del Sur, Bahía Blanca, Argentina

    Pablo Fillottrani

  4. Comisión de Investigaciones Científicas de la Provincia de Buenos Aires, Buenos Aires, Argentina

    Pablo Fillottrani

Authors
  1. Germán Braun
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  2. Christian Gimenez
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  3. Laura Cecchi
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  4. Pablo Fillottrani
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Corresponding author

Correspondence to Germán Braun.

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Braun, G., Gimenez, C., Cecchi, L. et al. crowd: A Visual Tool for Involving Stakeholders into Ontology Engineering Tasks. Künstl Intell 34, 365–371 (2020). https://doi.org/10.1007/s13218-020-00657-8

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  • DOI: https://doi.org/10.1007/s13218-020-00657-8

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