Visual search engine for scientific knowledge, promoting open science and discovery.
What are Open Knowledge Maps?
Open Knowledge Graph is a visual search engine for scientific knowledge. It helps users get a visual overview of a research topic, find relevant papers, and identify important concepts. Its goal is to revolutionize knowledge discovery by increasing the visibility of research results in science and society. It is a charitable non-profit organization based on the principles of open science, creating an inclusive, sustainable and equitable infrastructure for anyone to use.
How to use Open Knowledge Maps?
Users can begin their literature search by entering a research topic. The platform then generates a visual overview that allows users to explore relevant papers and identify key concepts. Users can refine their search by specifying time range, document type and metadata quality.
Core features of Open Knowledge Maps
Visual overview of research topics
Discovery of relevant papers
Identification of important concepts
Artificial intelligence based search engine
Customizable search filters (time range, document type, metadata quality)