Knowledge Graphs

Understand your data and maximize its value with a Knowledge Graph

Having all data in a structured, queryable model stimulates internal and external collaboration and speeds up research and development processes. It also enables maximum (re-)use of all available data. With knowledge graph capability, data integration is simplified because meaning has been standardized. Processes can be automated by reducing the need for reconciliation. Data teams get analytical flexibility and the ability to ask ‘what if’ questions of the data. Data Stewards get to speed up transformation with their encompasses all data points as well as the relationships between data elements.

The Hyve creates knowledge graphs in the life sciences domain using tools such as Protege, TopBraid Composer, AllegroGraph, and WebVOWL depending on the specific use case. For example, we use Allegrograph’s Gruff for advanced visualization like a semantic model and knowledge graph combined, meanwhile, WebVOWL is used for simple visualization of the semantic model only.

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The Prerequisites

Before engaging in any Semantic Model or Knowledge Graph work, it is essential to perform Data Landscape Exploration within your organization. This will enable us to understand which data is available and where, to improve compliance with regulations (GDPR) and best practices (i.e. FAIR) as well as to be able to manage the full data lifecycle.

Data Landscape Exploration can be provided as part of the Semantic Modeling or Knowledge Graph service. This service of The Hyve ranges from cataloging to creating an understanding of existing applications and data sources in the company and readiness for FAIR.

The Process

The Hyve creates knowledge graphs in the life sciences domain using tools such as Protege, TopBraid Composer, AllegroGraph, and WebVOWL depending on the specific use case. For example, we use Allegrograph for advanced visualization like a semantic model and knowledge graph combined, meanwhile, WebVOWL is used for simple visualization of the semantic model only.

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