Open Semantic Lab (OSL) is a holistic web platform that can capture all data and ideas and link them precisely (semantically/ontology-based) - no matter if it' s inventory (LIMS), lab notes (ELN), procedures (SOPs) or research (KB). Each piece of information can also be machine-read, blockchain-signed and written to automatically transfer (Lab 4.0) and analyze (AI) measurement data. OSL actively supports between the unstructured (liquid) and highly structured / ontologized phase of knowledge within organizations the formation of a partially structured (amorphous) phase, which acts as a (crystallization) seed for the consistent growth of the highly structured phase. As an open system, Open Semantic Lab can be easily adapted with little to none programming knowledge without losing the uniform structure. In this way, we can contribute to everyone's knowledge individually and yet in a standardized way.
General Introduction
- Talk at SMWCon2022, SMWCon2023 and SMWCon2024
- OpenSemanticLab.pdf
- Documentation
- Podcast Episode @ Between the Brackets
Related common compontents: OpenSemanticWorld and content packages: OpenSemanticWorld-Packages, hosted on opensemantic.world
Most of the knowledge generated in industry and science is irrevocably lost because we lack suitable tools for sustainable and complete documentation.
In addition, generated data can only be structured and made accessible to AI with a great deal of additional effort.
- An object oriented linked data schema, see OO-LD
- MediaWiki, extented with Semantic MediaWiki and various other existing extensions
- The Mediawiki extension 'OpenSemanticLab'
- Ontologies, especially the General Process Ontology
- A Graph-Database, currently blazegraph
- A Time-Series-Database, currently TimeScaleDB
- JupyterHub as Workflow-Environment
- Panel as Dashboard-Solution
- A Python Toolset
- An agentic AI chatbot framework
- Prototype-Level, applied in multiple research project, e. g. KIproBatt, Battery Knowledge Graph, BIG-MAP Onterface
- Docker container & compose
- Demo-Instance (work in progress)
- Central Schema Repo/Registry
KI_Formulareditor_x2.mp4
AI assisted form-completion based on a uploaded data sheet
LLM Agentic with Code Generation for Scientific Data Analysis
OpenSemanticLab was adapted/showcased in the following projects and initiatives. Funding information see individual pages / repositories.
| Name | Scope | Activity | Link |
|---|---|---|---|
| KIproBatt | National (BMBF) | Adapted | https://kiprobatt.de |
| Mat-o-Lab | National (BMBF) | Adapted | https://mat-o-lab.open-semantic-lab.org/ |
| MaterialDigital | National (BMBF) | Showcased | https://material-digital.de/ / Ontology Playground |
| NFDI MatWerk | National (DFG) | Showcased | https://nfdi-matwerk.de/nfdi/2023/ |
| BIG-MAP | EU (HE) | Adapted | https://big-map.eu/ / Onterface |
| Battery2030+ | EU (HE) | Adapted | https://battery.knowledge-graph.eu |
| CircEl-Paper | EU (HE) | Adapted | https://circelpaper.projects01.open-semantic-lab.org |
| ReUse | EU (HE) | Adapted | https://reuse.projects01.open-semantic-lab.org/ |