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Artfacts - A Platform for Making Sense of and Telling Stories with Cultural Objects

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 846))

Abstract

This paper presents the conceptualization, implementation, and evaluation of a Fast-speed IT Platform called Artfacts, which was designed within the context of the Two-speed IT Infrastructure, where a foundational, stable, and slow infrastructure is complemented by a creative, experimental, and agile additional infrastructure capable of promptly responding to the needs of communities. The platform is an attempt to digitally incorporate strategies for making sense and reusing digital collections and mitigate problems concerning specialized knowledge required for profiting from the affordances of data repositories as a creative material. In this sense, through the cartography of information, the platform aims at widening the participation of individuals with no technical background in the development and maintenance process of interpretive applications, no matter whether within cultural institutions or events such as hackathons for cultural heritage. Artfacts intermediates the reinterpretation of cultural datasets and the fabrication of interpretive applications by means of a flexible, general, and interoperable data model that is able to adapt to the demands of storytellers, and an open-ended Object-Oriented UI that enables analysis and experimentation by arranging and rearranging data elements into digital narratives.

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Notes

  1. 1.

    https://openglam.org/.

  2. 2.

    This term is vastly discussed within the cultural heritage sector and has as one of its basis the principles proposed by Freeman Tilden [3].

  3. 3.

    Form-Based User Interfaces, predominately employed by CMSs, are used to model simple and well-defined use cases/workflows and enforce them by guiding and restricting the interactions of the user through limited input elements (see [11]).

  4. 4.

    Commonly used in exhibitions, DIAs support audiences in interpreting collections. They can be e.g. audio-guides, chatbots, interactive multimedia exhibits, augmented reality apps, and so on (see Fig. 1).

  5. 5.

    KMs are visual graph organizer that serve as a method for supporting the human cognitive handling of concepts. [4] defines KMs as “a graphical display of information in which the importance and relationships between the various elements of knowledge are portrayed in the form of a map” [4]. As Concept Maps, KMs obey a rhizomatic model where their links are directional and labeled. Most importantly, their unique characteristic is that they require a standardized vocabulary, and do not have predefined starting and ending nodes [5].

  6. 6.

    https://schema.org/.

  7. 7.

    https://www.w3.org/TR/skos-reference/.

  8. 8.

    Grounded Theory is a research method that is used to develop a theory by detecting patterns in data. In other words, “Grounded Theory is the generation of theories from data.” [6].

  9. 9.

    The usability test was applied in the first version of the platform.

  10. 10.

    https://www.its-arolsen.org/.

  11. 11.

    https://www.stolpersteine-berlin.de/.

  12. 12.

    https://core.telegram.org/.

  13. 13.

    The chatbot is available as open source on: https://github.com/leonardomra/berlinbot-codingdavinci.

  14. 14.

    https://github.com/telegraf/telegraf.

  15. 15.

    https://dialogflow.com/.

References

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  2. Bossert, O., Harrysson, M., Roberts, R.: Organizing for digital acceleration: making a two-speed IT operating model work - McKinsey & Company. https://www.mckinsey.com/industries/high-tech/our-insights/organizing-for-digital-acceleration-making-a-two-speed-it-operating-model-work. Accessed 24 Apr 2018

  3. Tilden, F.: Interpreting Our Heritage, 3d edn. Chapel Hill Books. University of North Carolina Press, Chapel Hill (1977). ISBN 978-0-8078-4016-0

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Correspondence to Leonardo de Araújo .

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de Araújo, L. (2019). Artfacts - A Platform for Making Sense of and Telling Stories with Cultural Objects. In: Garoufallou, E., Sartori, F., Siatri, R., Zervas, M. (eds) Metadata and Semantic Research. MTSR 2018. Communications in Computer and Information Science, vol 846. Springer, Cham. https://doi.org/10.1007/978-3-030-14401-2_25

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  • DOI: https://doi.org/10.1007/978-3-030-14401-2_25

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-14401-2

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