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Big Data in Cultural Heritage

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Encyclopedia of Big Data Technologies
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Definitions

Cultural heritage information management mainly concerns the development of tools and applications for the storage, processing and retrieval of cultural digital contents, coming from distributed and heterogeneous data sources such as digital libraries and archives of cultural foundations, multimedia art collections, web encyclopedias and social media networks, and so on. In addition, if we also consider data from possible sensor networks – deployed in a given cultural environment (e.g., museums, archeological sites, old town centers, etc.) – the information to manage assumes characteristics of volume, velocity, and variety typical of big data. Thus, technologies for big data management can be properly investigated to realize a useful platform for cultural heritage applications.

Overview

In this chapter, we describe the main technological challenges and issues for the management of Big Data related to the Cultural Heritage domain.

Introduction

Nowadays, using information and...

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Notes

  1. 1.

    A proposal that aims at bridging the gaps between different harvesting standards providing a unique solution to metadata specification (http://pro.europeana.eu/edm-documentation).

References

  • Albanese M, d’Acierno A, Moscato V, Persia F, Picariello A (2013) A multimedia recommender system. ACM Trans Internet Technol (TOIT) 13(1):3

    Google Scholar 

  • Amato F, Chianese A, Moscato V, Picariello A, Sperli G (2012) Snops: a smart environment for cultural heritage applications. In: Proceedings of the twelfth international workshop on Web information and data management. ACM, pp 49–56

    Google Scholar 

  • Bartolini I, Patella M (2015) Multimedia Queries in Digital Libraries. In: Colace F., De Santo M., Moscato V., Picariello A., Schreiber F., Tanca L. (eds) Data Management in Pervasive Systems. Data-Centric Systems and Applications. pp 311–325. Ed. Springer Cham Print. ISBN 978-3-319-20061-3.

    Google Scholar 

  • Castiglione A, Colace F, Moscato V, Palmieri F (2017) Chis: a big data infrastructure to manage digital cultural items. Futur Gener Comput Syst. https://doi.org/10.1016/j.future.2017.04.006

  • Chen CP, Zhang CY (2014) Data-intensive applications, challenges, techniques and technologies: a survey on big data. Inf Sci 275:314–347

    Article  Google Scholar 

  • Colace F, De Santo M, Moscato V, Picariello A, Schreiber F, Tanca L (2015) Patch: a portable context-aware atlas for browsing cultural heritage. In: Data management in pervasive systems. Springer, Cham, pp 345–361

    Chapter  Google Scholar 

  • Cugola C, Margara A (2015) The complex event processing paradigm. In: Colace F., De Santo M., Moscato V., Picariello A., Schreiber F., Tanca L. (eds) Data Management in Pervasive Systems. Data-Centric Systems and Applications. Ed. Springer Cham Print. pp 113–133. ISBN 978-3-319-20061-3.

    Chapter  Google Scholar 

  • Kabassi K (2013) Personalisation Systems for Cultural Tourism. In: Tsihrintzis G., Virvou M., Jain L. (eds) Multimedia Services in Intelligent Environments. Smart Innovation, Systems and Technologies, vol 25. pp. 101–111. Ed. Springer, Heidelberg. ISBN 978-3-319-00374-0.

    Chapter  Google Scholar 

  • Panigati E, Schreiber FA, Zaniolo C (2015) Data streams and data stream management systems and languages. In: Colace F., De Santo M., Moscato V., Picariello A., Schreiber F., Tanca L. (eds) Data Management in Pervasive Systems. Data-Centric Systems and Applications. pp 93–111. Ed. Springer Cham Print. ISBN 978-3-319-20061-3.

    Google Scholar 

  • Schaffers H, Komninos N, Pallot M, Trousse B, Nilsson M, Oliveira A (2011) Smart Cities and the Future Internet: Towards Cooperation Frameworks for Open Innovation. In: Domingue J. et al. (eds) The Future Internet. FIA 2011. Lecture Notes in Computer Science, vol. 6656. pp 431–446. Ed. Springer, Berlin, Heidelberg. ISBN 978-3-642-20897-3.

    Chapter  Google Scholar 

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Correspondence to Vincenzo Moscato .

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Moscato, V. (2018). Big Data in Cultural Heritage. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_29-1

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  • DOI: https://doi.org/10.1007/978-3-319-63962-8_29-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63962-8

  • Online ISBN: 978-3-319-63962-8

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