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Domain Analysis and Geographic Context of Historical Soundscapes: The Case of Évora

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 415))

Abstract

Soundscape is the technical term used to describe the sound in our surroundings. Experiencing Historical Soundscapes allows for a better understanding of life in the past and provides clues on the evolution of a community. Interactive and multimedia-based Historical Soundscape environments with geolocation is a relatively unexplored area but, recently, this topic has started to call the attention of researchers due to its relevance in culture and history. This work is part of the PASEV project, which is developing several types of digital tools, designed to interactively share the Historical Soundscapes of the Portuguese City of Evora. This paper presents an initial domain requirements analysis for the interactive and multimedia-based Historical Soundscapes domain, which involves handling geolocations. Thus, projects in this domain, such as PASEV, can be part, and take advantage of the benefits of this work, which is the reuse of Soundscape domain requirements, reducing the time needed to develop applications in such domain.

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Notes

  1. 1.

    The original plugin is available at https://featureide.github.io/.

  2. 2.

    The Domain Model is available at: https://github.com/marianaBonito/APDC-Investigation-HistoricalSoundscapesCaseOfEvora-DomainAnalysis/blob/master/Domain_Analisis-Historical_Soundscapes.pdf.

  3. 3.

    Plug-in extension along with further detail is available at https://github.com/marianaBonito/APDC-Investigation-HistoricalSoundscapesCaseOfEvora-DomainAnalysis/blob/master/FeatureIDE_Plugin_Extension_Manual.pdf.

References

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Acknowledgment

We thank NOVA LINCS UID/CEC/04516/2019 and PASEV project PTDC/ART-PER/28584/2017.

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Correspondence to João Araujo .

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Bonito, M., Araujo, J., Rodrigues, A. (2021). Domain Analysis and Geographic Context of Historical Soundscapes: The Case of Évora. In: Cherfi, S., Perini, A., Nurcan, S. (eds) Research Challenges in Information Science. RCIS 2021. Lecture Notes in Business Information Processing, vol 415. Springer, Cham. https://doi.org/10.1007/978-3-030-75018-3_43

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  • DOI: https://doi.org/10.1007/978-3-030-75018-3_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-75017-6

  • Online ISBN: 978-3-030-75018-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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