Research is often driven by a compelling societal or scientific challenge, but often developing solutions can take years. To deliver tangible solutions that have a nation-wide societal impact and at a faster pace, the NSF launched the Convergence Accelerator program, designed to leverage a convergence approach to transition basic research and discovery into practice. Using innovation processes like human-centered design, user discovery, and team science; and integration of multidisciplinary research and cross-cutting partnerships the Convergence Accelerator is making investments to solve high impact societal challenges through use-inspired convergence research.
Knowledge Graphs are rapidly emerging as key infrastucture to integrate the diverse information needed to solve comolex societal challenges -- from climate change and human health to capturing business value from the AI revolution. The Cross Project Demonstratior inventories the scope of the Track A knowledge graphs. It extends the InK Browser, providing several new views on the data, such as a hierarchy of the knowledge graph schemas, as mapped to a common schema in order to provide users with an overview of general topics across the knowledge graphs. Currently, we display this mapping in a collapsible tree format according to the Wikipedia Category Graph. These mappings are generated via a pre-trained word2vec model to detect the most similar term in the Wikipedia category graph. The annotation view displays common annotation assertions for a selected entity. The search view provides users with a search box that returns a list of similar entities and useful annotations, sorted by relevance. The key motivation for the demonstrator is to foster track-level success by finding connections between Track A graphs. In Year 2 the demonstrator will focus on integrating more closely with the individual graphs and their schemata and on providing a common entry point to the envisioned cross-team Data2Knowledge consortium.