topicsacross

Topicsacross is a collaborative knowledge-organization project designed to map connections between topics across disciplinary boundaries to support cross-disciplinary discovery. It seeks to help researchers, educators, and students identify how ideas relate across fields by linking concepts, terms, and entities into an interpretable network.

The platform uses a graph-based data model where nodes represent topics and edges express relationships such as overlap, relevance, causality, or provenance. Content is drawn from user annotations, scholarly databases, open-data repositories, and partner collections, with metadata that supports multilingual and historical context.

Users create and curate topic pages that describe each concept, its synonyms, and cross-links to related topics. The system supports search across domains, cross-topic recommendations, and browsable maps of topic neighborhoods. Moderation and versioning help maintain quality and trace changes over time.

Established in 2019 by a coalition of academic, cultural, and industry partners, topicsacross progressed from a research prototype to an ongoing public resource with community governance and open licensing. Data licensing emphasizes attribution and openness; developers provide APIs for programmatic access.

Reception has been mixed, with praise for enabling interdisciplinary connections and concerns about bias, accuracy, and the effort required to curate at scale. Ongoing work focuses on improving entity disambiguation, scalability, and cross-language support.