New project makes Wikipedia data more accessible to AI

A new initiative aims to improve the accessibility of Wikipedia's vast data for artificial intelligence (AI) systems. The project, led by researchers at the University of Washington, involves creating a curated database that extracts and structures the information from Wikipedia articles in a more machine-readable format. The goal is to make it easier for AI models to access and utilize the knowledge contained within Wikipedia, which is one of the largest and most comprehensive online encyclopedias. By organizing the data in a more structured way, the researchers hope to enable AI systems to better understand and reason about the information, ultimately leading to improved performance on a wide range of tasks. The database will include a variety of data types, such as entities, relationships, and contextual information, allowing AI models to more effectively leverage the rich knowledge base of Wikipedia. This project is expected to benefit a wide range of AI applications, from natural language processing to knowledge-based decision making.