Linking Garments to Knowledge: TextileBase as an Interdisciplinary Graph for Dress and Textile Research

TextileBase knowledge graph — connecting dispersed garment records

Abstract

This article introduces TextileBase, a multilingual knowledge graph that connects dispersed data on garments from museums, archives, and libraries. By transforming artefact records, photographs, and texts into interoperable knowledge statements, it enables interdisciplinary research across dress history, ethnography, and sustainable fashion. The preprint demonstrates early results using Baltic and Finno-Ugric datasets and shows how TextileBase improves searchability, semantic interoperability, and reuse of cultural heritage data.

Publication
In Culture Crossroads, Vol. 28, 2025

The article demonstrates how dress history and textile-related research can be enhanced through the interoperability of knowledge provided by a knowledge graph. The growing availability of digital cultural and historical data is not matched by a similar increase in their usability. Therefore, expanding the search radius to collections across disciplines and countries requires harmonisation and interoperability of knowledge. Reprex has created TextileBase – a knowledge base fully interoperable with libraries, archives, museums, the open knowledge system Wikidata, and open science repository systems. The article highlights key considerations when formulating searches and addressing terminology dissimilarities to ensure that data providers working across country, language, or disciplinary boundaries understand the intended meaning. To improve and streamline searchability in libraries for textual sources mentioning relevant historical garments, archives for their contemporary depictions, and museum collections for new artefacts, TextileBase transforms data and metadata into knowledge statements, links terms to an international controlled vocabulary, and carefully compares the works of various research and collection institutions.

Daniel Antal
Daniel Antal
Data and AI entrepreneur working with cultural data, with a life-long passion for photography.