The Museum of the City of New York has undertaken a long-term project to digitize its collection of 1.5 million objects, annotate them with metadata, and make them publicly available via the Internet. At present, Museum staff annotate images using a traditional lexicon assembled from authority sources such as the Library of Congress and the Getty Art and Architecture Thesaurus, but with limited resources the Museum cannot scale to meet its goal of providing the highest levels of accessibility and discoverability of collections to researchers as well as to the general public. This project offers a cost-effective, scalable solution that 1) consolidates the current lexicon with linked open data sources by generating alignments and reconciling semantically equivalent elements, creating a super-set lexicon, and 2) divides the work of annotating into micro-tasks that can be completed by huge labor pools available through crowd-sourced marketplaces
