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Semantic Network Visualization of Cultural Heritage Data

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11153))

Abstract

Advancement of digital technologies have helped the cultural heritage (CH) organizations such as archives, libraries, and museums to digitize their data collections and improve the accessibility to them. Over the past years various approaches have been developed to enable the visualization of the CH data. In this paper, we present a use case on annotation, linking, visualization and browsing of CH data and suggest some directions to achieve tangible visual analysis. We introduce the semantic linked data search and the method of connected concepts to enhance the users experience when searching for historical data.

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Notes

  1. 1.

    http://www.mediatheque.ch/.

  2. 2.

    http://www.valais-digital.ch/.

  3. 3.

    https://pypi.python.org/pypi/langdetect.

  4. 4.

    http://dbpedia.org.

  5. 5.

    https://dbpedia.org/sparql.

References

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Acknowledgement

This work was partly funded by the Hasler Foundation in the context of the project City-Stories. We are grateful to “Mediathque Valais”, “Digital Valais Wallis” and “Archives de l’Etat du Valais” for providing the data.

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Correspondence to Shaban Shabani .

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Shabani, S., Liu, Z., Sokhn, M. (2018). Semantic Network Visualization of Cultural Heritage Data. In: Pautasso, C., Sánchez-Figueroa, F., Systä, K., Murillo Rodríguez, J. (eds) Current Trends in Web Engineering. ICWE 2018. Lecture Notes in Computer Science(), vol 11153. Springer, Cham. https://doi.org/10.1007/978-3-030-03056-8_28

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  • DOI: https://doi.org/10.1007/978-3-030-03056-8_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03055-1

  • Online ISBN: 978-3-030-03056-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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