Knowledge Graphs: State-of-the-Art and Applications

Dear Colleagues,

It has taken more than 50 years since the inception of the relational model for a novel paradigm to gain momentum, due to the increasingly interconnected and networked nature of modern data, the need for incremental modeling of data structures, the ease of integration with the richer semantics of ontologies and the promise of explainable artificial intelligence. Knowledge graphs provide the theoretical underpinning for such data representation strategies and the link to more expressive knowledge representation formalisms. The Special Issue aims to portray the status of and outlook for this technology via both seminal contributions on its underlying techniques and a selected range of case studies.

Relevant topics include, but are not limited to, the following:

• Automatic KG definition obtained from collections of unstructured heterogeneous documents and data,
• Flexible KG querying,
• KG interactive visualization,
• KG hierarchical summarization,
• KGs and ontology integration,
• KGs and geospatial data management,
• KGs as a means to support XAI.

Dr. Fugazza Cristiano
Dr. Gloria Bordogna
Guest Editors

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