Generate Value from Your Knowledge Graph in Days

metaphactory’s low-code approach helps showcasing a sample knowledge graph for clinical trial scoping application

This webinar is recorded and available on YouTube.

Large enterprises have identified Knowledge Graphs as the foundation for making data FAIR and unlocking the value of their data assets. Data fabrics built on FAIR data drive digital transformation initiatives that put companies ahead of the competition. But while the benefits of Knowledge Graphs have become clear, the road to implementation has often been long and complex, and success has relied on the involvement of seasoned knowledge graph experts.

In this webinar, Ontotext and metaphacts will present an approach to accelerate your Knowledge Graph journey and help you generate value from your Knowledge Graph within a matter of days. We’ll  highlight how combining GraphDB and metaphactory brings together:

  • curated and open datasets, which can be enriched with additional internal data sources;
  • data virtualization, which can help you combine local graph data with data residing in SQL systems into a performant data architecture;
  • visual knowledge graph modeling, which transforms ontology engineering into a streamlined, end-to-end process involving all relevant stakeholders; and
  • a low-code approach for building user-friendly search, exploration, visualization, and data editing interfaces.

In a live demo around clinical trial scoping, you will learn how a pharmaceutical organization has leveraged metaphactory on top of GraphDB to build a user-oriented dashboard that brings together data on hundreds of thousands of clinical studies, investigators, sites, medical conditions, and their symptoms, drugs and common adverse effects, etc. Clinical study managers can use this dashboard to identify the optimal site for their study by looking at available institutions and their locations, the subjects available in each respective area, the indications commonly studied at these institutions, the investigators working at these institutions, their experience with the medical condition at hand, the common study size and the average number of studies per year for each investigator, etc.

Our approach is currently being used productively in numerous customer implementations in the Pharma & Life Sciences, Engineering & Manufacturing, News & Media, Financial Services Industry, as well as Cultural Heritage sectors. It has helped our customers successfully adopt Knowledge Graphs as a strategic tool to drive digital transformation across a variety of use cases and has led to significant boosts in productivity, cost reductions, and efficiency optimization.

Who is this webinar for:

  • Knowledge Managers, Content Managers, and IT professionals
  • Consultants, Solution Architects, and Knowledge Engineers

Expected duration:

  • 45 minutes presentation
  • 15 minutes Q&A session

Meet the speakers

Todor Primov

Todor Primov

Head of Research and Innovation, Ontotext

Todor Primov has experience as a business analyst, solution architect, project manager and product owner in the life science and healthcare IT.He has 18+ years long track record of development and delivery of large scale semantic data integration, information extraction and semantic search solutions in various domains such as bioinformatics, clinical, pharmaceuticals, agro-bio and health care.

Sebastian Schmidt

Sebastian Schmidt

CEO, metaphacts

Sebastian has 20 years of experience in the IT industry throughout which he has held leading positions in software engineering, pre-sales, consulting and product management. As Co-CEO at metaphacts, Sebastian leads customer- and partner-facing activities and is responsible for driving digital transformation initiatives with customers across Europe, North America and Asia.

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