Deep learning and cultural heritage: The CEPROQHA project case study

Abdelhak Belhi, Houssem Gasmi, Abdulaziz Khalid Al-Ali, Abdelaziz Bouras, Sebti Foufou, Xi Yu, Haiqing Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cultural heritage takes an important part of the history of humankind as it is one of the most powerful tools for the transfer and preservation of moral identity. As a result, these cultural assets are considered highly valuable and sometimes priceless. Digital technologies provided multiple tools that address challenges related to the promotion and information access in the cultural context. However, the large data collections of cultural information have more potential to add value and address current challenges in this context with the recent progress in artificial intelligence (AI) with deep learning and data mining tools. Through the present paper, we investigate several approaches that are used or can potentially be used to promote, curate, preserve and value cultural heritage through new and evolutionary techniques based on deep learning tools. The deep learning approaches entirely developed by our team are intended to classify and annotate cultural data, complete missing data, or map existing data schemes and information to standardized schemes with language processing tools.

Original languageEnglish (US)
Title of host publication2019 13th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728127415
DOIs
StatePublished - Aug 2019
Event13th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2019 - Island of Ulkulhas, Maldives
Duration: Aug 26 2019Aug 28 2019

Publication series

Name2019 13th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2019

Conference

Conference13th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2019
CountryMaldives
CityIsland of Ulkulhas
Period8/26/198/28/19

Keywords

  • Artificial Intelligence
  • CEPROQHA Project
  • Cultural Heritage
  • Deep Learning
  • Digital Heritage

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software
  • Information Systems and Management

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  • Cite this

    Belhi, A., Gasmi, H., Al-Ali, A. K., Bouras, A., Foufou, S., Yu, X., & Zhang, H. (2019). Deep learning and cultural heritage: The CEPROQHA project case study. In 2019 13th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2019 [8982520] (2019 13th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SKIMA47702.2019.8982520