The Semantic SQL Transducer: seamless knowledge graphs and databases interoperation
Session Overview
In the current landscape of data management and analytics there is an emphasis on the significance of meticulous data management practices, semantic modelling, and bridging business-technical divides, to optimise data utilisation and enhance value from datasets in modern data environments. In this presentation I introduce the Semantic SQL Transducer, a well-founded but practical tool together with a design methodology providing the materialised lossless knowledge graph view of an arbitrary relational source data, contributing to a knowledge-centric data stack.
Target Audience
Data architects, data managers, data engineers, researchers on knowledge graphs for databases.
Desired Feedback
Are the problems to which our tool proposes a solution, really relevant?
Is anybody interested in supporting the further development of the tool?
Is anybody interested in a cooperation for evaluating the tool?
Speaker Details
Enrico Franconi, founder and director of the KRDB Research Centre for Knowledge-based AI at the Free University of Bozen-Bolzano, Italy. The research area I am working on is related to the application of database, artificial intelligence, and semantic technologies to concrete problems in information systems design and maintenance, in data integration, intelligent access, analysis and restructuring of big data.
Recording Consent
YES
Workshop Potential
YES, a session gathering the presentations on Knowledge Graphs and Databases.
Talk Title
The Semantic SQL Transducer: seamless knowledge graphs and databases interoperation
Session Overview
In the current landscape of data management and analytics there is an emphasis on the significance of meticulous data management practices, semantic modelling, and bridging business-technical divides, to optimise data utilisation and enhance value from datasets in modern data environments. In this presentation I introduce the Semantic SQL Transducer, a well-founded but practical tool together with a design methodology providing the materialised lossless knowledge graph view of an arbitrary relational source data, contributing to a knowledge-centric data stack.
Target Audience
Data architects, data managers, data engineers, researchers on knowledge graphs for databases.
Desired Feedback
Speaker Details
Enrico Franconi, founder and director of the KRDB Research Centre for Knowledge-based AI at the Free University of Bozen-Bolzano, Italy. The research area I am working on is related to the application of database, artificial intelligence, and semantic technologies to concrete problems in information systems design and maintenance, in data integration, intelligent access, analysis and restructuring of big data.
Recording Consent
YES
Workshop Potential
YES, a session gathering the presentations on Knowledge Graphs and Databases.
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