Digital Data Organisation and Exchange in Fashion
Mohammed Al-Rawi (alrawim at tcd ddott ie)
By proposing a novel data exchange protocol, DDOIF project aims at linking the fashion industry and AI companies. In fact, DDOIF provides a common language that all industries involved in fashion can use. The project is part of the Elite-S project and is hosted at the ADAPT Centre, Trinity College Dublin. Entitled “Digital Data Organization and Exchange in Fashion (DDOIF)”, the project aims to develop a data exchange protocol that defines the terminology and vocabulary of fashion data. The protocol contains the ontologies of fashion data, descriptions, categories, subcategories, anatomy, characteristics, colors, patterns, etc. Fashion companies that adopt DDOIF will gain a competitive market advantage as the protocol / standard will facilitate the development of powerful applications. Applications that can make use of DDOIF may include, but not limited to, counterfeit counterfeit and brand forensics, archival and retrieval, fashion classification, the next-generation recommender systems, personalized fashion, personalized online shopping, etc. DDOIF can help delivering a more effective and superior customer shopping experience.
More info:
Preprint: Towards an Interoperable Data Protocol Aimed at Linking the Fashion Industry with AI Companies (https://arxiv.org/abs/2009.03005)
The ontologies of fashion data: DDOIF - Digital Data Organization and Exchange in Fashion (https://github.com/morawi/ddoif)
DDOIF is pronounced this way: /diːdɔɪf/
DDOIF specifications and characteristics
Vocabulary and terminology
Computer Vision algorithms, tagging, predictions
NLP and statistical analysis
Color codes, histograms and clusters
Color degradation modelling
Fashion articles' names
Articles categories
Articles sub-categories
Article's anatomy
Material and fabric, and material versus fabric
Design patterns
Still images parameters and modality
Video parameters
Storage and architecture; the DDOIF architecture
Use-case scenarios
Personal preferences and characteristics
Environment and sustainability
Privacy and GDPR
Software Engineering
Knowledge representation
Knowledge reasoning
This project is part of Elite-S programme that aims to prepare the future leadership in ICT and standardization in Europe.
https://www.scss.tcd.ie/~alrawim