Empowering Docker with Linked Data Principles

Explore the intersection of Docker containers and Linked Data principles in this 20-minute conference talk. Delve into the potential of applying semantic web technologies to the Docker ecosystem, including making image registries accessible through graph query languages like SPARQL or GraphQL. Learn about the importance of semantically describing Dockerfiles, images, and containers, and adopting data models such as RDF. Discover how this approach can enhance interoperability, data integration, and foster reproducibility in computational experiments. Cover topics including stream reasoning, benchmarking challenges, Docker's role in computational experiments, experiment design, RDF standards, Linked Data principles, and the concept of Docker in the Linked Open Data cloud. Examine the current gaps in vocabularies and registries, and explore innovative ideas like treating registries as repositories and annotating containers.

Intro
Stream Reasoning
Benchmarking is Hard
Docker for Computational Experiments
Experiment Design
Standards: RDF
Linked Data Principles
Can Docker be in the LOD?
What is Missing? Vocabularies
What is Missing? Registries
Dockeronto
Idea: Registries as Repositories
Annotating Containers (Harder)