Searching Silk Fabrics by Images Leveraging on Knowledge Graph and Domain Expert Rules
| Autor: | Thomas Schleider, Raphaël Troncy, Thibault Ehrhart, Franz Rottensteiner, Mareike Dorozynski, Jorge Sebastián Lozano, Georgia Lo Cicero |
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| Rok vydání: | 2021 |
| Předmět: |
Information retrieval
Intangible cultural heritage Computer science business.industry Deep learning Exploratory search 02 engineering and technology Domain (software engineering) Cultural heritage Subject-matter expert 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Textile (markup language) business Image retrieval |
| Zdroj: | Proceedings of the 3rd Workshop on Structuring and Understanding of Multimedia heritAge Contents. |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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