Knowledge Graphs: 5 Use Cases and 10 Steps to Get There

In this webinar, Atanas Kiryakov and Andreas Blumauer will explain why semantic knowledge graphs play a central role in improving data analytics, data governance, content management or-on the business-side-decision making, customer satisfaction and knowledge discovery.

This webinar recorded and available on demand.


Join the founders and CEOs of two of the leading companies in the field of graph technologies and the implementation of knowledge graphs Atanas Kiryakov of Ontotext and Andreas Blumauer of Semantic Web Company. They will explain why semantic knowledge graphs play a central role in improving data analytics, data governance, and content management. They will also demonstrate how knowledge graphs support business decision making, customer satisfaction, and knowledge discovery.

They will provide 10 simple steps to create, use, evolve and grow knowledge graphs and will show you how graph technologies and related methodologies can be implemented to help organizations in different industries and along different processes to achieve:

  • Cost savings through better orchestration of knowledge workflows and more efficient reuse of assets, e.g., in HR-related processes.
  • Generation of 360° views of customers and products by unifying unstructured and structured data and connecting data silos through harmonized metadata, e.g., in the financial industry.
  • Improved customer experience through precise text analysis and auto-tagging using knowledge graphs, e.g., to improve technical documentation or customer support.
  • Enhanced engagement and better re-purposing and monetization of your published content through rich semantic metadata and personalized recommendations.
  • Quicker and more efficient decision making and research through better search and analysis options, e.g., in drug development, market intelligence or supply chain management.

Along the knowledge graph life cycle, you will understand how to enable humans and computers to complement each other in knowledge management, information extraction and data analytics. The webinar will highlight technologies and methodologies that automate the routine work of data scientists, librarians, editors and other knowledge workers, while—based on explainable AI—enabling them to control these processes and contribute with explicit knowledge, sample data or feedback. 

Duration: 60 minutes

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About The Speaker

Atanas Kiryakov

Atanas Kiryakov

CEO, Ontotext

Atanas Kiryakov is the founder and CEO of Ontotext and member of the board of the Linked Data Benchmarking Council – standardization body, who's members include the major graph database vendors. Kiryakov obtained his M.Sc. degree in AI from the Sofia University, Bulgaria, in 1995. Today he is a top expert in semantic graph databases, reasoning, knowledge graphs, text mining, semantic tagging, linking and search. Author of signature academic publications with more than 2500 citations. Atanas is partner and board member in Sirma Group Holding – one of the biggest Bulgarian IT businesses, listed at the Sofia Stock Exchange. Atanas started in Sirma as software engineer in 1993 and became a partner in 1997. In the 90s he has led projects in the areas of CASE, CSCW, and b2b for big corporations and government organizations in US and Canada.

Andreas Blumauer

Andreas Blumauer

CEO, Semantic Web Company

Andreas Blumauer holds a Master’s degree in business studies and information technologies from the University of Vienna. For the last 15 years, he has been CEO of the Semantic Web Company (SWC). At SWC, he is responsible for business development and strategic product management of the PoolParty Semantic Suite. Andreas has been pioneering the Semantic Web frontier since 2001 and is author of The Knowledge Graph Cookbook, a guide on how to build knowledge graphs that help enterprises innovate, create value and increase revenue. He is an experienced consultant in the areas of information management, metadata management, linked data, search, analytics, machine learning and semantic technologies.