Knowledge Graphs for Sustainable AI Impact

October 27, 2023 - 09:30 - 11:00
Room 3F
Technology, Platforms, and impact
Industrial and Trustworthy AI
In person
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Data ecosystems such as data spaces and data lakes are a prerequisite for compliant access to data needed to exploit the potential of AI. These ecosystems can benefit from the use of Knowledge Graphs to improve semantic data discovery and interoperability and to increase the quality of provided data. Recent advances in methods and tools for building, maintaining, and querying knowledge graphs have shown impact both as enablers for better data management, data governance, sharing and exchange; as well as advanced analytics and recommendations. In this session, we will shed light on recent developments for handling the life cycle of large-scale knowledge graphs (build, maintain, query), and their applications in selected domains, emphasizing their ability to integrate heterogeneous data from diverse sources.

The session, organized by European research and innovation projects enRichMyData, STELAR, DataCloud and GraphMassivizer (see links below), will consist of talks on recent technological approaches related to the development and use of Knowledge Graphs and semantic services, exemplified by sustainable business cases, including applications in the agrifood sector and digital marketing. After the introductory talks, an expert panel, consisting of both technology and business experts will discuss the current and future impact of Knowledge Graphs in context of current AI developments.

Moderation: Inês Rito Lima, MOG Technologies


  1. Dumitru Roman, SINTEF AS: Brief intro and projects overview (DataCloud, enRichMyData, Graph-Massivizer, STELAR) 

The tech approaches

  1. Manolis Koubarakis, National and Kapodistrian University of Athens: Knowledge Graphs for FAIR and AI-ready Data Lakes
  2. Peter Haase, Metaphacts: Knowledge Graphs and LLMs
  3. Matteo Palmonari, University Milano Bicocca: Data Enrichment with Human-in-the-loop 

The business value

  1. Fernando Perales, JOT Internet Media: Data driven services for digital marketing pipelines
  2. Peter Haase, Metaphacts: Knowledge Graphs as foundational layer for trustworthy Enterprise AI Applications


Panel Discussion (ca 30 mins), moderated by Inês Rito Lima


Dumitru Roman’s presentation here

Manolis Koubarakis’ presentation here

Matteo Palmonari’s presentation here

Peter Haase’s “Knowledge Graphs and LLMs” presentation here

Fernando Perales’ presentation here

Peter Haase’s “Knowledge Graphs as foundational layer for trustworthy Enterprise AI Applications” presentation here

Dumitru Roman
Senior Research Scientist at SINTEF
Fernando Perales
Head of JOT Research Lab at JOT Internet Media
Inês Rito Lima
Innovation Manager at MOG Technologies
Manolis Koubarakis
Professor at National and Kapodistrian University of Athens
Matteo Palmonari
Associate Professor at University Milano Bicocca
Peter Haase
Founder & Director at metaphacts GmbH
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