What is Open Knowledge Maps?
Open Knowledge Maps is the world's largest AI-based search engine for scientific knowledge that increases the visibility of research findings for both science and society. It is a charitable, non-profit organization which functions on the principles of open science.
What are the main features of Open Knowledge Maps?
The main features of Open Knowledge Maps include the ability to visually map research topics, discover relevant papers and distill key concepts. The platform provides search capability for scientific literature and allows organizations to embed its components into their own discovery systems.
How does Open Knowledge Maps enhance the visibility and accessibility of scientific knowledge?
Open Knowledge Maps enhances the visibility and accessibility of scientific knowledge by allowing users to visually map a research topic, discover relevant research papers, and distill key concepts. The tool dramatically increases the visibility of research findings for science and society.
How does the visual mapping feature in Open Knowledge Maps work?
The visual mapping feature in Open Knowledge Maps works by creating a visual overview of a given research topic, organizing the literature into thematic clusters, helping users discover relevant papers and distill key concepts.
Can I use Open Knowledge Maps as a search engine for scientific literature?
Yes, Open Knowledge Maps can be used as a search engine for scientific literature. It helps users visually map a research topic, discover relevant papers and identify important scientific concepts.
What principles of open science are applied in Open Knowledge Maps?
Open Knowledge Maps applies the principles of open science, aiming to create an inclusive, sustainable, and equitable infrastructure that can be used by anyone. It adopts a transparent approach to collective knowledge creation, research, and discovery.
Who can use Open Knowledge Maps?
Open Knowledge Maps can be used by anyone looking for an inclusive, sustainable, and equitable infrastructure for discovering and accessing scientific knowledge. This includes both scientific researchers and general members of society.
How does Open Knowledge Maps aim to facilitate scientific research and findings?
Open Knowledge Maps facilitates scientific research and discovery by providing an advanced AI-based tool that helps users visually map a research topic, find relevant papers, and identify key concepts. The platform promotes open science principles, encouraging collective knowledge creation and sharing.
How can organizations integrate Open Knowledge Maps into their own systems?
Organizations can integrate Open Knowledge Maps into their own systems using the AI-based discovery tools provided by the platform. The software includes features that allow organizations to embed Open Knowledge Maps components into their own discovery systems.
Is Open Knowledge Maps a non-profit organization?
Yes, Open Knowledge Maps is a non-profit organization. It operates on the principles of open science.
What is Open Knowledge Maps' mission?
Open Knowledge Maps' mission is to dramatically increase the visibility of research findings for science and society alike, and to revolutionize the way these findings are discovered and shared.
How does Open Knowledge Maps propose to improve the way research findings are discovered and shared?
Open Knowledge Maps proposes to improve the way research findings are discovered and shared by making them visually accessible. The platform organizes scientific literature into thematic clusters, enabling more efficient discovery and understanding of research findings. The tool encourages open science principles and collective knowledge creation.
Can I become a supporting member of Open Knowledge Maps?
Yes, you can become a supporting member of Open Knowledge Maps. They invite organizations to become supporting members and collectively fund the platform to ensure its sustainability and further development.
What do users and supporters say about Open Knowledge Maps?
Users and supporters have praised Open Knowledge Maps for being an innovative tool for literature search, particularly citing the visualization and clustering of papers into themes as a helpful feature. Organizations, such as ETH Library and ZBW, have recognized and applauded its innovative approach in the field of discovery in open spaces.
How does Open Knowledge Maps propose to be sustainable?
Open Knowledge Maps proposes to be sustainable by inviting organizations to become supporting members and fund the platform in a collective effort, thereby helping in the co-creation of a robust platform for future scientific research and findings.
Can I use Open Knowledge Maps to identify important concepts in a research topic?
Yes, you can use Open Knowledge Maps to identify important concepts in a research topic. The platform visually maps the research topic and organizes the literature into thematic clusters that help you distill key concepts.
How does Open Knowledge Maps increase the visibility of research findings?
Open Knowledge Maps increases the visibility of research findings by providing a visually appealing and intuitive map of a given research topic. By clustering related studies and concepts together, the platform helps users navigate through the massive amount of scientific literature and identify relevant findings more easily.
How can Open Knowledge Maps components be embedded in own discovery systems?
Open Knowledge Maps components can be embedded in own discovery systems using their custom services. These services allow organisations to complement their own services with the tools provided by Open Knowledge Maps.
What awards has Open Knowledge Maps received?
Open Knowledge Maps has received the Austrian Prize for Free Knowledge and the Open Minds Award Austria for its commitment and innovation in enhancing accessibility to scientific knowledge.
Can I use Open Knowledge Maps' AI tools within my own services?
Yes, organisations can use Open Knowledge Maps' AI tools within their own services. This integration is possible through their Custom Services, which allows the embedding of Open Knowledge Maps components in the organisation's own discovery systems.