Open Knowledge Maps is an AI-based tool designed to enhance the visibility and accessibility of scientific knowledge for both science and society. It is available as a search engine for scientific literature, wherein users have the ability to visually map a research topic, discover relevant papers and distill key concepts.
Underpinned by the principles of open science, Open Knowledge Maps is a non-profit organization that aims to provide an inclusive, sustainable, and equitable infrastructure usable by a wide range of users.
The platform functions as more than a discovery tool for current existing knowledge; it is also an effort to collectively co-create a more robust platform for future scientific research and findings.
The software includes features that allow organizations to embed Open Knowledge Map components into their own discovery systems. This tool has been recognized for its vision in the field of discovery in open spaces, which propels its mission to revolutionize the way research findings are discovered and shared.
AI-based search engine for scientific knowledge that enhances visibility of research findings.
Provides knowledge maps that offer an overview of research topics, clustering similar resources for easier identification.
Highlights open access resources, allowing users to access full texts directly from the interface.
Offers custom integration services for organizations to embed AI-based discovery tools into their systems.
Supports a community-driven approach with opportunities for users to become enthusiasts and contribute to the platform's development.
Map research topics to gain an overview and identify relevant resources and concepts.
Use AI-driven visualizations to cluster similar research papers for easier identification of pertinent literature.
Access both open and closed content, with a focus on highlighting open access resources for user convenience.
Integrate Open Knowledge Maps components into existing discovery systems through custom services for organizations.
Facilitate community engagement and knowledge sharing through workshops and training materials for users and enthusiasts.
Provides an AI-based visual interface to enhance the discovery of scientific knowledge, making research findings more accessible to both science and society.
Offers knowledge maps that give users an instant overview of research topics, helping to identify relevant areas and resources quickly.
Clusters similar resources together, facilitating the identification of pertinent content in multidisciplinary fields or when searching for ambiguous terms.
Highlights open access resources, allowing users to find freely available content and access full texts easily.
Supports organizations in embedding AI-based discovery tools into their own systems, enhancing their research capabilities.
Organizations can become supporting members to co-create the platform and contribute to its funding.
Membership types include Visionary Membership, Sustaining Membership, and Basic Membership, each with different levels of support.
Specific organizations listed as supporting members include ETH Zürich, University Bern, and The Gates Foundation.
The application offers Custom Services for organizations to embed AI-based discovery tools into their own systems.
No specific pricing details for membership or services are provided in the text.
