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International Conference on Language, Data and Knowledge

LDK 2017: Language, Data, and Knowledge pp 237–252Cite as

Assessing VocBench Custom Forms in Supporting Editing of Lemon Datasets

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10318))

Abstract

The lexicon model for ontologies OntoLex/lemon has been released in May, 2016, following more than 2 years of work of the Ontology-Lexicon (OntoLex) W3C Community Group. Lemon provides rich linguistic grounding for ontologies, including the representation of morphological and syntactic properties of lexical entries as well as the syntax-semantics interface. The rich expressivity of lemon requires however non-trivial modeling, with complex patterns characterized by indirections and reifications, indeed very difficult to handle by general-purpose ontology editing tools providing triple-grained manipulation. Extending such tools with lemon-tailored editing primitives would enable agile editing of lexicons and ontology-lexicon interfaces, while still benefiting from the wider modeling spectrum provided by RDF. In this paper, we assess the potential of VocBench Custom Forms, a flexible data-driven form definition mechanism being developed for the VocBench 3 collaborative editing platform, by evaluating their ability to assist the creation of lemon entities, disburdening the user from low-level modeling details and letting them focus on the content being edited.

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Acknowledgments

This work has been partially funded by the ISA2 Work Programme, action for the realization of the VocBench 3 collaborative editing platform for ontologies and thesauri: https://ec.europa.eu/isa2/solutions/vocbench3.

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Authors and Affiliations

  1. ART Research Group, Department of Enterprise Engineering (DII), University of Rome Tor Vergata, Via Del Politecnico, 1, 00133, Rome, Italy

    Manuel Fiorelli, Tiziano Lorenzetti, Maria Teresa Pazienza & Armando Stellato

Authors
  1. Manuel Fiorelli
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  2. Tiziano Lorenzetti
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  3. Maria Teresa Pazienza
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  4. Armando Stellato
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Corresponding author

Correspondence to Armando Stellato .

Editor information

Editors and Affiliations

  1. Universidad Politécnica de Madrid, Madrid, Spain

    Jorge Gracia

  2. Nanyang Technological University, Singapore, Singapore

    Francis Bond

  3. Insight Centre for Data Analytics, National University of Ireland, Galway, Galway, Ireland

    John P. McCrae

  4. Insight Centre for Data Analytics, National University of Ireland, Galway, Ireland

    Paul Buitelaar

  5. Goethe-University Frankfurt, Frankfurt, Germany

    Christian Chiarcos

  6. University of Leipzig, Leipzig, Germany

    Sebastian Hellmann

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Fiorelli, M., Lorenzetti, T., Pazienza, M.T., Stellato, A. (2017). Assessing VocBench Custom Forms in Supporting Editing of Lemon Datasets. In: Gracia, J., Bond, F., McCrae, J., Buitelaar, P., Chiarcos, C., Hellmann, S. (eds) Language, Data, and Knowledge. LDK 2017. Lecture Notes in Computer Science(), vol 10318. Springer, Cham. https://doi.org/10.1007/978-3-319-59888-8_21

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  • DOI: https://doi.org/10.1007/978-3-319-59888-8_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59887-1

  • Online ISBN: 978-3-319-59888-8

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