• DocumentCode
    186178
  • Title

    Designing a Smart Museum: When Cultural Heritage Joins IoT

  • Author

    Chianese, Angelo ; Piccialli, Francesco

  • Author_Institution
    Dept. of Electr. Eng. & Inf. Technol., Univ. of Naples Federico II, Naples, Italy
  • fYear
    2014
  • fDate
    10-12 Sept. 2014
  • Firstpage
    300
  • Lastpage
    306
  • Abstract
    The adoption of the Internet of Things (IoT) paradigm constitutes the basic building block to progress towards unified ICT platforms for a variety of applications within the large framework of the smart cities. Unfortunately, designing a general architecture for IoT is still a very complex challenge, since in such system may be involved several devices, link layer technologies and services. Cultural Heritage represents a worldwide resource of inestimable value and it gains more and more importance when embedded into the digital ecosystem of a smart city. In this paper we focus specifically to design a IoT architecture that is able to support the designing of a smart museum, a static cultural space that becomes intelligent thanks to the definition of an innovative model of sensors and services. Furthermore, the paper will present and discuss a real case of study, placed in a temporary art exhibition of sculptures in the Maschio Angioino Castle, located in Naples, Italy.
  • Keywords
    Internet of Things; history; intelligent structures; museums; Internet of Things; IoT paradigm; Italy; Maschio Angioino Castle; Naples; cultural heritage; digital ecosystem; link layer technologies; sculptures; smart cities; smart museum design; static cultural space; temporary art exhibition; unified ICT platforms; Art; Cultural differences; Intelligent sensors; Multimedia communication; Sensor phenomena and characterization; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Next Generation Mobile Apps, Services and Technologies (NGMAST), 2014 Eighth International Conference on
  • Conference_Location
    Oxford
  • Print_ISBN
    978-1-4799-5072-0
  • Type

    conf

  • DOI
    10.1109/NGMAST.2014.21
  • Filename
    6982932