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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationResearch Challenges in Information Science - 15th International Conference, RCIS 2021, Proceedings
EditorsSamira Cherfi, Anna Perini, Selmin Nurcan
Place of PublicationCham
PublisherSpringer
Pages609-615
Number of pages7
ISBN (Electronic)978-3-030-75018-3
ISBN (Print)978-3-030-75017-6
DOIs
Publication statusPublished - 2021
Event15th International Conference on Research Challenges in Information Science, RCIS 2021 - Virtual, Online
Duration: 11 May 202114 May 2021

Publication series

NameLecture Notes in Business Information Processing
PublisherSpringer
Volume415 LNBIP
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

Conference15th International Conference on Research Challenges in Information Science, RCIS 2021
CityVirtual, Online
Period11/05/2114/05/21

Keywords

  • Domain Analysis
  • Feature Models
  • Historical Soundscapes

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