Schleider, T., Troncy, R., Ehrhart, T., Dorozynski, M., Rottensteiner, F., Lozano, S., & Cicero, L. (2021). Searching Silk Fabrics by Images Leveraging on Knowledge Graph and Domain Expert Rules. 41-49. Association for Computing Machinery, Inc. https://doi.org/10.1145/3475720.3484445
T. Schleider R. Troncy T. Ehrhart M. Dorozynski F. Rottensteiner Sebastián Lozano Lo Cicerocultural heritage Intangible cultural heritages Deep learning Cultural heritages Silk Deep learning Knowledge graph Textiles Silk fabrics Knowledge management Search engines Knowledge graph Knowledge graphs Digital devices Digital tools Domain experts Expert rule Fashion industry image retrieval Image retrieval Knowledge domains
Ver
Schleider, T., Troncy, R., Ehrhart, T., Dorozynski, M., Rottensteiner, F., Lozano, S., & Cicero, L. (2021). Searching Silk Fabrics by Images Leveraging on Knowledge Graph and Domain Expert Rules. 41-49. Association for Computing Machinery, Inc. https://doi.org/10.1145/3475720.3484445
T. Schleider R. Troncy T. Ehrhart M. Dorozynski F. Rottensteiner Sebastián Lozano Lo Cicerocultural heritage Intangible cultural heritages Deep learning Cultural heritages Silk Deep learning Knowledge graph Textiles Silk fabrics Knowledge management Search engines Knowledge graph Knowledge graphs Digital devices Digital tools Domain experts Expert rule Fashion industry image retrieval Image retrieval Knowledge domains
Ver
Li, Y., & Liu, X. (2021). Sketch Based Thangka Image Retrieval. 2066-2070. https://doi.org/10.1109/IAEAC50856.2021.9390657
Y. Li X. LiuIntangible cultural heritages Deep learning Learning technology Tibetans United Nations Image retrieval Thangka Content recognition Deep Learing Image data Image retrieval Matching rules On-machines Sketch
Ver
Grammalidis, N., Kico, I., & Liarokapis, F. (2020). Analysis of Human Motion Based on AI Technologies: Applications for Safeguarding Folk Dance Performances. International Conference On Strategic Innovative Marketing And Tourism, Icsimat 2019, pp. 321-329, . Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-030-36126-6_35 (Original work published 0 B.C.E.)
N. Grammalidis I. Kico F. LiarokapisDeep learning Artificial intelligence Applications Folk dance preservation Human motion analysis from video
Ver
Dou, J., Qin, J., Jin, Z., & Li, Z. (2018). Knowledge graph based on domain ontology and natural language processing technology for Chinese intangible cultural heritage. Journal Of Visual Languages And Computing, 48, 19-28, . https://doi.org/10.1016/j.jvlc.2018.06.005 (Original work published undefined)
Jinhua Dou Jingyan Qin Zanxia Jin Zhuang LiIntangible cultural heritage Deep learning Natural language processing Knowledge graph Domain ontology The 24 solar terms
Ver
Vadamodula, P., Cristin, R., & Daniya, T. (2023). Design and Development of a Digital Preservation Voice Enabled Application for Cultural Heritage Towards Fishing in Vernacular Language. 475, 295-308. Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-2840-6_23
Prasad Vadamodula R. Cristin T. DaniyaCoders and encoders Culture Deep learning Fish farming heritage Natural language processing Synthesizers
Ver
Cui, L., Shao, X., Mago, B., & Ravi, R. V. (2021). Digital intangible cultural heritage management using deep learning models. Aggression And Violent Behavior. https://doi.org/10.1016/j.avb.2021.101680
L. Cui X. Shao B. Mago R.V. RaviDeep learning human article Inheritance Deep learning Metadata human experiment documentation digital Image classification Image reconstruction imagery Intangible cultural heritage management
Ver
Cui, L., Shao, X., Mago, B., & Ravi, R. V. (2021). Digital intangible cultural heritage management using deep learning models. Aggression And Violent Behavior. https://doi.org/10.1016/j.avb.2021.101680
L. Cui X. Shao B. Mago R.V. RaviDeep learning human article Inheritance Deep learning Metadata human experiment documentation digital Image classification Image reconstruction imagery Intangible cultural heritage management
Ver