POWERED BY METAPHACTORY

Dimensions Knowledge Graph

Endless knowledge at your fingertips. Imagine the possibilities.

Harness the synergy of global research knowledge and your own data

The Dimensions Knowledge Graph, powered by metaphactory, simplifies and accelerates the generation of actionable insights across the entire pharma value chain. With over 32 billion statements, it delivers a wealth of knowledge and insights derived from global research and public datasets. Its underlying semantic model gives you the tools you need to additionally connect your internal knowledge and delivers a layer of trust and explainability for AI algorithms and applications built on top of the graph.

Use cases

FAST-TRACK TARGET DISCOVERY & REDUCE RESEARCH COSTS

Enabling company-wide access to interconnected internal and external data can allow researchers to create hypotheses and validate them against global research knowledge and literature, accelerating time-to-market for new drugs and therapies.

STREAMLINE PROCESSES FROM R&D TO CLINICAL TRIALS TO MARKET ACCESS

Research and lab data can become available to manufacturing plants, helping streamline knowledge transfer and the planning of clinical trials, manufacturing, distribution and market access processes.

REUSE EXISTING DATA AND KNOWLEDGE, BOTH INTERNAL & EXTERNAL

A unified semantic layer makes data FAIR, supports the automation of data collection and integration, and enables reusability of data, ontologies and vocabularies, across your organization.

SPEED UP DRUG SAFETY REVIEW PROCESSES & OPTIMIZE RISK CONTROL

Existing research findings can be leveraged as supporting metadata in review processes mandated by regulatory agencies, thus speeding up approval processes.

LEVERAGE THE POWER OF KNOWLEDGE GRAPHS WITH LLMs

The underlying knowledge graph can be combined with LLMs and gen-AI to scale and support business decisions with machine-generated insights, augment explicit knowledge with AI algorithms and much more.

ENABLE & ACCELERATE COMPLEX DISCOVERY WORKFLOWS

Data is transformed into actionable knowledge available company-wide and can support research initiatives and business decisions or drive forecasts and prediction.

Customized views on your data for diverse user groups

Lab scientists

Data scientists

System biologists

Infectious disease experts

Immunologists

Bio-informaticians

Leveraging the power of knowledge graphs & AI to deliver explainable, actionable insights

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Key opportunities with the Dimensions Knowledge Graph

» Augment explicit knowledge (symbolic AI) with AI algorithms
» Support, augment & scale business decisions with better machine-generated insights leveraging global research information
» Explicit knowledge delivered by symbolic AI provides trust & explainability
» Integration with Generative AI & ML allows to move from human-driven to human-in-the-loop

Dimensions Knowledge Graph in action

What's included

The Dimensions Knowledge Graph is the largest interconnected set of semantically annotated knowledge:

Metadata from
» 143 milion publications
» 160 million patents
» 21 million datasets
» 7 million grants
» 1.9 million policy documents

People & organizations
» 34 million researchers
» 129 thousand organizations

Semantic annotations
» 307 billion linked semantic annotations
» 35 million research integrity trust markers

Pharma ontologies / vocabularies
» 307 billion annotations with 30 million concepts from 38 domain ontologies

How it works

At the core of the Dimensions Knowledge Graph is an explicitly defined and flexible semantic model that can be easily extended to include your internal data and harness the synergy of global research and your internal knowledge to drive business decisions.

This model has been built using metaphactory's semantic modeling interface and is based on open standards, supporting data reusability across use cases and domains within your organization.

End users can access the integrated knowledge through use-case specific views for intuitive search, exploration and visualization. Alternatively, insights can be delivered via API and injected into already established BI or data visualization interfaces.

The AI Assists built-in across the solution can deliver a layer of trust and explainability to AI-generated insights and help scale business decisions, allowing you to move from a human-driven model to a human-in-the-loop model.

Based on open standards

The solution's approach based on open standards offers great flexibility and supports interoperability and reusability across use cases and business functions within your organization.

RDF Data Model

Standardized Data Model

Flexible, open standard for data representation

Ontology Language

Formal definition of your domain model which can be extended at any time

Vocabularies

Categorization and classification of data as hierarchical structures

Rules & Constraints

Definition of explicit cardinalities & constraints in the model for automated reasoning

Query Language

Flexible query language to specify graph-shaped information needs

Linked Data Platform

Open standards to support FAIR data within your organization

Dimensions Knowledge Graph Resources

Get started today!

Experience the Dimensions Knowledge Graph in action and leverage our Accelerator Package to deliver a first MVP using our global research knowledge & your internal data in less than 2 weeks!

Included in the Accelerator Package

Access to the Dimensions Knowledge Graph for 3 months
Expert support during the project duration to help connect with your internal data sources for your use case
Team enablement and training as part of the metaphacts Academy

Leveraging Knowledge Graphs & Semantic Knowledge Modeling at Scania and TRATON

Knowledge Democratization with an Enterprise Knowledge Graph at Boehringer Ingelheim

What is a knowledge graph