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Open Knowledge Maps

Open Knowledge Maps

Your guide to scientific knowledge

softwareAI Research & Analysissearch engineacademic searchAI

What is Open Knowledge Maps?

Open Knowledge Maps is the world's largest AI-based search engine for scientific knowledge. It transforms traditional search into an interactive visual map, helping users get an overview, find resources, and identify concepts. The platform is nonprofit, open science–oriented, and indexes over 400 million outputs across 400+ languages from more than 11,000 sources via BASE. It supports 25 output types (publications, datasets, software, images) and claims zero hallucinations as results are based solely on underlying metadata.

Key Features of Open Knowledge Maps

AI-based visual discovery
Broad coverage of disciplines and sources
High metadata quality filter (abstract required, min length 300 chars)
Supports boolean operators (e.g., climate change AND impact)
Date filtering and document type selection
Open and freely accessible

Use Cases for Open Knowledge Maps

1

Literature overview and theme identification

Allows researchers to quickly identify the main themes and sub-topics in a given research area without reading through hundreds of abstracts.

2

Discover relevant resources

Provides an interactive map of documents, making it easier to find key papers, datasets, and software related to a specific research question.

3

Filter by metadata quality

Users can filter by document type, date, and quality (abstract length) to focus on high-quality metadata records.

4

Custom integrations for institutions

Organizations can embed Open Knowledge Maps components into their own discovery systems, enhancing their research portals.

Pros & Cons of Open Knowledge Maps

Pros

  • Open and free to use for everyone
  • Nonprofit, aligned with open science principles
  • Visual map helps quickly identify themes and relevant papers
  • Strong coverage across disciplines via BASE
  • No hallucinations—transparent, metadata-based results
  • Supports multiple output types beyond traditional papers
  • Custom services for organizations to embed the tool

Cons

  • Limited to search results from BASE and PubMed initially, though BASE covers many disciplines.
  • Requires JavaScript and a modern browser; unsupported browsers may not work properly.
  • The AI-generated maps may sometimes oversimplify complex research landscapes.
  • As a non-profit, it relies on funding and memberships, which could affect long-term sustainability.

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About the Product

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Platforms
Target AudienceResearchers, scientists, students, librarians, and anyone who needs to discover and explore scientific literature. Also useful for institutions looking to integrate AI-based discovery tools into their own systems.

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search engineacademic searchAIopen sciencevisualizationresearch discovery

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