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Elicitation Taxonomy for Acquiring Biodiversity Knowledge

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Knowledge Engineering and Semantic Web (KESW 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 649))

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Abstract

Traditionally, knowledge is kept by individuals and not by institutions. This weakens an institution’s ability to survive and be competitive. Questions such as, how to maintain and manage knowledge of institutional interest regarding employee turn over and the information entropy problem, must be addressed. Evidence in the literature suggests gaps in the process of knowledge elicitation and acquisition. For a complex domain such as biodiversity, mechanisms are needed to acquire, record and manage knowledge with high level of expressiveness, which includes tacit knowledge. This paper presents techniques for eliciting tacit knowledge in the biodiversity domain to be used in a conceptual framework that integrates scientific knowledge. The main issues related to the knowledge elicitation process are presented, as well as the knowledge elicitation techniques used. As a case study, knowledge was elicited from INPA’s ichthyology group.

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Notes

  1. 1.

    The expert’s mental model represents the thinking process of an individual about how something works (the understanding of the world around); it is based on incomplete facts, past experiences and even intuitive perceptions [36].

  2. 2.

    https://apps.adnx.com/en/apps/xLine.

  3. 3.

    http://toketaware.com/ithoughts-new-home/.

  4. 4.

    http://www.simpleapps.eu/simplemind/desktop/osx/features.

  5. 5.

    http://www.tacitconnexions.com/PCPACK%20download%20promo%20page.htm.

  6. 6.

    http://protege.stanford.edu/.

  7. 7.

    http://cmap.ihmc.us/.

  8. 8.

    http://simile.mit.edu/.

  9. 9.

    http://www.greenstone.org/.

  10. 10.

    http://delos.info/.

  11. 11.

    http://www.brickscommunity.org/.

  12. 12.

    http://www.fedora-commons.org/.

  13. 13.

    http://www.jeromedl.org/.

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Acknowledgments

We would like to thank ICOMP-UFAM, LIS-INPA, FAPEAM (Foundation for the State of Amazonas Research), Grant Number 021/2011 062.03101 / 2012-DO and CNPq (National Council for Scientific and Technological Development) Grant Number 486333 / 2011-6 for partially funding this research.

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Authors and Affiliations

  1. Instituto de Ciência da Computação (IComp), Universidade Federal do Amazonas (UFAM), Manaus, AM, Brazil

    Andréa Corrêa Flôres Albuquerque & Alberto Nogueira de Castro Júnior

  2. Laboratório de Interoperabilidade Semântica (LIS), Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, AM, Brazil

    José Laurindo Campos dos Santos

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  1. Andréa Corrêa Flôres Albuquerque
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  2. José Laurindo Campos dos Santos
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  3. Alberto Nogueira de Castro Júnior
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Correspondence to Andréa Corrêa Flôres Albuquerque .

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  1. Leipzig University , Leipzig, Germany

    Axel-Cyrille Ngonga Ngomo

  2. Czech Technical University in Prague , Praha, Czech Republic

    Petr Křemen

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Albuquerque, A.C.F., dos Santos, J.L.C., de Castro Júnior, A.N. (2016). Elicitation Taxonomy for Acquiring Biodiversity Knowledge. In: Ngonga Ngomo, AC., Křemen, P. (eds) Knowledge Engineering and Semantic Web. KESW 2016. Communications in Computer and Information Science, vol 649. Springer, Cham. https://doi.org/10.1007/978-3-319-45880-9_13

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  • DOI: https://doi.org/10.1007/978-3-319-45880-9_13

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