| #!/bin/bash | |
| # Requirements | |
| # * jq | |
| # * aws cli v1 | |
| # Usage | |
| # bash script.sh <bucket> |
Gnomes file-roller integration Gnome Archive Manger and file-roller themself are unable to extract .deb archives in certain conditions even though the UI states files have been extracted successfully
https://gitlab.gnome.org/GNOME/file-roller/-/issues/14
Workaround is to use ar
ar -xv file.deb
An ontology and a knowledge graph are related concepts, but they serve different purposes and have different characteristics.
An ontology is a formal, explicit specification of a shared conceptualization of a domain of interest. In other words, it is a model of the concepts and relationships that exist within a particular domain, typically represented using a formal language such as RDF or OWL. Ontologies are used to represent knowledge in a structured and standardized way, making it easier to reason about and share information within a community.
A knowledge graph, on the other hand, is a specific implementation of a graph database that is used to represent and store knowledge. It typically consists of a set of nodes representing entities, and a set of edges representing the relationships between those entities. Knowledge graphs are often used to represent and store large amounts of heterogeneous data from multiple sources, making
| #!/bin/bash | |
| # Wrapper for mermaid-cli run within a docker container | |
| # copy mmdc into $bin and use as you would use mermaid-cli | |
| # Ensures the script exits if a command fails | |
| set -e |