@inproceedings{2006,
  keywords = {cultural 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},
  author = {T. Schleider and R. Troncy and T. Ehrhart and M. Dorozynski and F. Rottensteiner and Sebastián Lozano and Lo Cicero},
  title = {Searching Silk Fabrics by Images Leveraging on Knowledge Graph and Domain Expert Rules},
  abstract = {The production of European silk textile is an endangered intangible cultural heritage. Digital tools can nowadays be developed to help preserving it, or even to make it more accessible for the public and the fashion industry. In this paper, we propose an image-based retrieval tool that leverages on a knowledge graph describing the silk textile production as well as rules formulated by experts of this domain. Out of several possible similarity scenarios, two have proven to work best and have been integrated into an exploratory search engine.},
  year = {2021},
  pages = {41-49},
  publisher = {Association for Computing Machinery, Inc},
  school = {Association for Computing Machinery, Inc},
  isbn = {9781450386685 (ISBN)},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119076458&doi=10.1145%2f3475720.3484445&partnerID=40&md5=9c8e6a6c13ec0e9655f793547545b424},
  doi = {10.1145/3475720.3484445},
  note = {Journal Abbreviation: SUMAC - Proc. Workshop Struct. Underst. Multimed. Herit. Contents, co-located ACM MM},
  language = {English},
}