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International Conference on Conceptual Modeling

ER 2017: Advances in Conceptual Modeling pp 154–163Cite as

Assisting Process Modeling by Identifying Business Process Elements in Natural Language Texts

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10651))

Abstract

Process modeling plays a significant role in the business process lifecycle, as it must stress the quality of process models for supporting all the next steps. However, this phase is time consuming and expensive, a consequence of the huge amount of unstructured input information. In a previous research, we presented an approach for identifying business process elements in natural language texts which facilitate the modeler’s work. Such approach relies on a set of mapping rules associated with natural language processing techniques. The identification itself was already validated, but how to apply this information to minimize the modelers’ effort remains unclear. Highlighting the identified rules in the text can enhance its comprehensibility. This paper explores the applicability of such mapping rules on supporting the modeler by marked up texts. The validation shows promising results, as the time spent and effort perceived by the modeler were both minimized.

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Notes

  1. 1.

    https://spacy.io/.

  2. 2.

    https://pypi.python.org/pypi/PyDictionary.

  3. 3.

    http://www.thesaurus.com.

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Author information

Authors and Affiliations

  1. Institute of Informatics, Federal University of Rio Grande do Sul, Av. Bento Gonçalves, Porto Alegre, 9500, Brazil

    Renato César Borges Ferreira, Lucinéia Heloisa Thom, José Palazzo Moreira de Oliveira, Diego Toralles Avila & Rubens Ideron dos Santos

  2. School of Arts, Sciences and Humanities, University of São Paulo, Rua Arlindo Bettio, São Paulo, 1000, Brazil

    Marcelo Fantinato

Authors
  1. Renato César Borges Ferreira
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  2. Lucinéia Heloisa Thom
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  3. José Palazzo Moreira de Oliveira
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  4. Diego Toralles Avila
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  5. Rubens Ideron dos Santos
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  6. Marcelo Fantinato
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Corresponding author

Correspondence to Lucinéia Heloisa Thom .

Editor information

Editors and Affiliations

  1. University of Westminster, London, United Kingdom

    Sergio de Cesare

  2. University of Duisburg-Essen, Essen, Germany

    Ulrich Frank

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Ferreira, R.C.B., Thom, L.H., de Oliveira, J.P.M., Avila, D.T., dos Santos, R.I., Fantinato, M. (2017). Assisting Process Modeling by Identifying Business Process Elements in Natural Language Texts. In: de Cesare, S., Frank, U. (eds) Advances in Conceptual Modeling. ER 2017. Lecture Notes in Computer Science(), vol 10651. Springer, Cham. https://doi.org/10.1007/978-3-319-70625-2_15

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  • DOI: https://doi.org/10.1007/978-3-319-70625-2_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-70624-5

  • Online ISBN: 978-3-319-70625-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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