KnowGraphs was an EU-funded training network led by Prof. Dr. Axel-Cyrille Ngonga Ngomo of the University Paderborn. Receiving € 3.87 million, this Marie Skłodowska-Curie Innovative Training Network (MSCA-ITN) offered 15 fully funded doctoral positions including trainee stays in companies and further educational measures.
Thematically, KnowGraphs dealt with the role and utilization of knowledge graphs, a family of data representation mechanisms. As an AI key technology, graph-based approaches have become indispensable for the intelligent handling of large amounts of data or even search queries.
The research topics of KnowGraphs were focused on the scalability of knowledge graphs to make them accessible to a wide audience of users across multiple domains. This audience ranges from companies of different sizes and domains—like Industry 4.0, biomedicine, finances and law—to single users that are supported by personal assistants. To this end, the PhD candidates in KnowGraphs worked on a mixture of topics ranking from theoretical foundations to the practical usage of knowledge graphs and their economic effects.
KnowGraphs focused on addressing four of the facets of knowledge graph management: (1) representation, (2) construction and maintenance, (3) operation and (4) exploitation. The project addressed these pillars by researching and developing novel methods, models and frameworks using a cross-disciplinary mix of methods from Web Science, Data Science, Knowledge Representation, Knowledge Engineering, Big Data, data law, and business innovation. The results will be applied across sectors, i.e., in domains including personalized medicine, Industry 4.0, question answering, personal assistants and Web search.
Funded by: European Union