01912nas a2200457   4500000000100000008004100001260004500042653002300087653001800110653002000128653001800148653001900166653001600185653002100201653002000222653003400242653002200276653002000298653002100318653002500339653001900364653000900383653001700392653001300409653002200422653001800444653002000462653002000482100001700502700001400519700001500533700001800548700002100566700002500587700001700612245009100629856014800720300001000868520055100878020002501429                                       d  bAssociation for Computing Machinery, Inc10aCultural heritages10aDeep learning10aDigital devices10aDigital tools10aDomain experts10aExpert rule10aFashion industry10aImage retrieval10aIntangible cultural heritages10aKnowledge domains10aKnowledge graph10aKnowledge graphs10aKnowledge management10aSearch engines10aSilk10aSilk fabrics10aTextiles10acultural heritage10aDeep learning10aImage retrieval10aKnowledge graph1 aT. Schleider1 aR. Troncy1 aT. Ehrhart1 aM. Dorozynski1 aF. Rottensteiner1 aJ. Sebastián Lozano1 aG. Lo Cicero00aSearching Silk Fabrics by Images Leveraging on Knowledge Graph and Domain Expert Rules  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85119076458&doi=10.1145%2f3475720.3484445&partnerID=40&md5=9c8e6a6c13ec0e9655f793547545b424  a41-493 aThe 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.  a9781450386685 (ISBN)