POWERED BY METAPHACTORY

Dimensions Knowledge Graph

Endless knowledge at your fingertips. Imagine the possibilities.

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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. 

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Use cases

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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.

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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.

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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.

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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.

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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.

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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

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Lab scientists
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Data scientists
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System biologists
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Infectious disease experts
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Immunologists
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Bio-informaticians

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

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

Join our virtual roundtable: "Unlocking the power of knowledge graph-driven, AI solutions in pharma"

During this roundtable, we’ll share a product & data update on the Dimensions Knowledge Graph, and discuss demos & use cases, including:

» Natural Language interaction to lower the access barrier for all users
» Target discovery support using AI-driven exploration of protein and disease data across multiple public data sources
» Intuitive, end-user exploration of clinical trial data to support both R&D and clinical use cases
» Deep research insights based on relation extraction from publications in the computer science field
» … and more!

Event details
Date: July 9
Time: 3:30 - 5:00 pm CET / 9:30 - 11:00 am EST

Register below secure your spot!

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

RDF Data Model

Standardized Data Model

Flexible, open standard for data representation

OWL

Ontology Language

Ontology Language

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

SKOS

Vocabularies

Vocabularies

Categorization and classification of data as hierarchical structures

SHACL

Rules & Constraints

Rules & Constraints

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

SPARQL

Query Language

Query Language

Flexible query language to specify graph-shaped information needs

W3C

Linked Data Platform

Linked Data Platform

Open standards to support FAIR data within your organization

Dimensions Knowledge Graph Resources

Get started today!