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المؤلفBelhi, Abdelhak
المؤلفAbu-Musa, Tahani
المؤلفAl-Ali, Abdulaziz Khalid
المؤلفBouras, Abdelaziz
المؤلفFoufou, Sebti
المؤلفYu, Xi
المؤلفZhang, Haiqing
تاريخ الإتاحة2023-04-09T08:34:47Z
تاريخ النشر2019
اسم المنشورProceedings - 2019 4th International Conference on Communication and Information Systems, ICCIS 2019
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/ICCIS49662.2019.00039
معرّف المصادر الموحدhttp://hdl.handle.net/10576/41713
الملخصArt and culture represent substantial ways to transfer the history of humans across civilizations and epochs. Preserving artwork and cultural objects is thus important and the focus of multiple institutions and governments around the world. Digital preservation in cultural heritage represents a cost-effective and reliable long-term preservation and several challenges related to its effectiveness and its reliability have arisen such as metadata enrichment, digital curation, link discoveries, etc. Through this paper, we discuss these challenges and present innovative ways that leverage recent endeavors in artificial intelligence and semantic web technologies to enrich cultural data. Our contributions mitigate these issues either by recovering metadata of mislabeled assets or curating their damaged visual capture through new and advanced deep learning and semantic web technologies. The presented approaches are being studied in Qatar in the course of the CEPROQHA project. 2019 IEEE.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعArtificial intelligence
CEPROQHA project
Cultural heritage
Deep learning
Digital heritage
Semantic web
العنوانDigital heritage enrichment through artificial intelligence and semanticweb technologies
النوعConference Paper
الصفحات180-185
dc.accessType Abstract Only


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