6533b825fe1ef96bd1281d8a

RESEARCH PRODUCT

Searching Silk Fabrics by Images Leveraging on Knowledge Graph and Domain Expert Rules

Thomas SchleiderRaphaël TroncyThibault EhrhartFranz RottensteinerMareike DorozynskiJorge Sebastián LozanoGeorgia Lo Cicero

subject

Information retrievalIntangible cultural heritageComputer sciencebusiness.industryDeep learningExploratory search02 engineering and technologyDomain (software engineering)Cultural heritageSubject-matter expert020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligenceTextile (markup language)businessImage retrieval

description

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.

https://doi.org/10.1145/3475720.3484445