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Jul 01, 2020 · SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files. To achieve such a goal, SeMi builds the semantic models of the data sources, in terms of concepts and relations within a domain ontology.

PDF | SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and... | …

Apr 02, 2020 · SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files. To achieve such a goal, SeMi builds the semantic models of the data sources, in terms of concepts and relations within a domain ontology.

SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files. To ...

At the best of the authors' knowledge, this is the first technique that exploits a graph neural network to support the semantic modeling process and can be ...

SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files. To achieve such a goal, SeMi builds the semantic models of the data sources, in terms of concepts and relations within a domain ontology. Most of the research contributions on automatic semantic modeling is focused on the detection of ...

Based on this principle, in the next article, I will present a novel approach based on Graph Neural Networks to assign the edge costs to make ...

All neural networks are but Graphs of different kinds. mp4. ... How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey.

Jan 16, 2016 · SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files. To achieve such a goal, SeMi builds the … Expand

SeMi: A SEmantic Modeling machIne to build Knowledge Graphs with graph neural networks . SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files.

SeMi: A SEmantic Modeling machIne to build Knowledge. Graphs with graph neural networks. SoftwareX,. 12:100516. Galkin, M., Auer, S., and Scerri, S. (2016) ...

Jun 08, 2020 · SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files. To achieve such a goal, SeMi builds the semantic models of the data sources, in terms of concepts and relations within a domain ontology.

01.07.2020 · SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files. To achieve such a goal, SeMi builds the semantic models of the data sources, in terms of concepts and relations within a domain ontology.

01.07.2020 · SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files. To achieve such a goal, SeMi builds the semantic models of the data sources, in terms of concepts and relations within a domain ontology.

SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files ...

SeMi: A SEmantic Modeling machIne to build Knowledge Graphs with graph neural networks. G Futia, A Vetrò, JC De Martin. SoftwareX 12, 100516, 2020.

SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files. To achieve such a goal, SeMi builds ...

SoftwareX (2020-07-01) . SeMi: A SEmantic Modeling machIne to build Knowledge Graphs with graph neural networks

SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files ...

08.06.2020 · Size 8 June 2020 SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files. To achieve such a goal, SeMi builds the semantic models of the data sources, in terms of concepts and relations within a domain ontology.

SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, and XML files. To achieve such a goal, SeMi builds the … Expand

Abstract. SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge Graphs from structured sources such as CSV, JSON, ...

At the best of the authors' knowledge, this is the first technique that exploits a graph neural network to support the semantic modeling process and can be considered as a step ahead towards automatic and scalable approaches for building Knowledge Graphs. Abstract SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale Knowledge …