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A Progressive Formalization of Tacit Knowledge to Improve Semantic Expressiveness of Biodiversity Data

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Information Management and Big Data (SIMBig 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1070))

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Abstract

The majority of biodiversity data available on the Web are structured, lacking unstructured features such as tacit knowledge, images, audios, text documents, among others. Tacit knowledge can be used to add more expressiveness to ontologies. To achieve that, the knowledge needs to be elicited and formalized and further incorporated into an ontology. This paper aims to present a Progressive Formalization Schema (PFS) to formalize tacit knowledge into different levels of granularity.

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Notes

  1. 1.

    An expert can be understood as an individual who has valuable knowledge that can be used by someone or an organization (Kendal and Creen 2016).

  2. 2.

    According to Carey and Spelke (1994), “It represents a person’s thought process for how something works (i.e. the understanding of the world around). Based on incomplete facts, past experiences and even intuitive perceptions. They help to define actions and behaviors, influence what will be considered most relevant in complex situations and define how individuals confront and solve problems.”

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Acknowledgements

This research was partially supported by FAPEAM (Foundation for the State of Amazonas Research) - Grant Number. 062.01502/2018 – FIXAM program. Thanks, are also due to INPA/LIS, and researchers of INPA’s Ichthyology Group for their support.

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Authors and Affiliations

  1. Laboratório de Interoperabilidade Semântica – LIS, Instituto Nacional de Pesquisas da Amazônia – INPA, Av. André Araújo 2936, Manaus, AM, Brazil

    Andréa Corrêa Flôres Albuquerque & José Laurindo Campos dos Santos

Authors
  1. Andréa Corrêa Flôres Albuquerque
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  2. José Laurindo Campos dos Santos
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Correspondence to Andréa Corrêa Flôres Albuquerque .

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Editors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Juan Antonio Lossio-Ventura

  2. University of A Coruña, A Coruña, Spain

    Nelly Condori-Fernandez

  3. Visibilia, São Paulo, Brazil

    Jorge Carlos Valverde-Rebaza

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Albuquerque, A.C.F., Campos dos Santos, J.L. (2020). A Progressive Formalization of Tacit Knowledge to Improve Semantic Expressiveness of Biodiversity Data. In: Lossio-Ventura, J.A., Condori-Fernandez, N., Valverde-Rebaza, J.C. (eds) Information Management and Big Data. SIMBig 2019. Communications in Computer and Information Science, vol 1070. Springer, Cham. https://doi.org/10.1007/978-3-030-46140-9_15

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  • DOI: https://doi.org/10.1007/978-3-030-46140-9_15

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  • Online ISBN: 978-3-030-46140-9

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