Remove accelerating-end-to-end-knowledge-graph-solutions-with-ontotexts-linkedlifedata-inventory-the-case-of-target-discovery
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Accelerating End-to-end Knowledge Graph Solutions with Ontotext’s LinkedLifeData Inventory: The Case of Target Discovery

Ontotext

One of the most prominent examples of such work is the drug discovery and development process. It typically spans 10-15 years, including 4-7 years dedicated to identifying and validating a target. It typically spans 10-15 years, including 4-7 years dedicated to identifying and validating a target.

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Accelerating End-to-end Knowledge Graph Solutions with Ontotext’s LinkedLifeData Inventory: The Case of Target Discovery

Ontotext

One of the most prominent examples of such work is the drug discovery and development process. It typically spans 10-15 years, including 4-7 years dedicated to identifying and validating a target. It typically spans 10-15 years, including 4-7 years dedicated to identifying and validating a target.

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GraphDB and metaphactory Part II: An RDF Database and A Knowledge Graph Platform in Action

Ontotext

In our previous post, we covered the basics of how the Ontotext and metaphacts joint solution based on GraphDB and metaphactory helps customers accelerate their knowledge graph journey and generate value from it in a matter of days. The Background Story. Today, users from the general public, journalists, etc.