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Ontology-Driven Visual Browsing of Historical Industrial Archives

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Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection (EuroMed 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8740))

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Abstract

The paper presents the outcomes of a regional project funded by the European Commission, aiming at identifying new strategies in the management and access of historical industrial archives. The study addresses different issues concerning the access to digital archives, such as data search and browsing. The paper focuses on data browsing proposing a semantic framework to support the different users’ communities in the exploration of industrial archives, based on two main components: a knowledge model of the archive content formalised in an ontology and a visual browsing module, which exploits ontology and visual exploration tools to facilitate the navigation of the archive content.

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References

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Author information

Authors and Affiliations

  1. Istituto di Matematica Applicata e Tecnologie Informatiche “Enrico Magenes”, CNR, Via de Marini 6, 16149, Genova, Italy

    Monica De Martino, Marina Monti, Simone Pastorino & Chiara Rosati

Authors
  1. Monica De Martino
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  2. Marina Monti
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  3. Simone Pastorino
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  4. Chiara Rosati
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Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering and Informatics, Digital Heritag Research Lab, Cyprus University of Technology, Archbishop Kyprianou 31, 3036, Limassol, Cyprus

    Marinos Ioannides

  2. Institute for Media Innovation (IMI), Nanyang Technological University, Singapore

    Nadia Magnenat-Thalmann

  3. 2360 N. Vernon Street, Arlington, VA 22207, USA

    Eleanor Fink

  4. Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova 2, 1000, Ljubljana, Slovenia

    Roko Žarnić

  5. China University of Technology, 53 Sec3, Shinlong Rd., Taipei, Taiwan

    Alex-Yianing Yen

  6. Wave Engineering Laboratory, Center for Nonlinear Studies, Tallinn University of Technology, Institute of Cybernetics, Akadeemia tee 21, 12618, Tallinn, Estonia

    Ewald Quak

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© 2014 Springer International Publishing Switzerland

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De Martino, M., Monti, M., Pastorino, S., Rosati, C. (2014). Ontology-Driven Visual Browsing of Historical Industrial Archives. In: Ioannides, M., Magnenat-Thalmann, N., Fink, E., Žarnić, R., Yen, AY., Quak, E. (eds) Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection. EuroMed 2014. Lecture Notes in Computer Science, vol 8740. Springer, Cham. https://doi.org/10.1007/978-3-319-13695-0_73

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  • DOI: https://doi.org/10.1007/978-3-319-13695-0_73

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13694-3

  • Online ISBN: 978-3-319-13695-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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