OSW Introduction

OSW Introduction [OSWdb485a954a88465287b341d2897a84d6]
ID	OSWdb485a954a88465287b341d2897a84d6
UUID	db485a95-4a88-4652-87b3-41d2897a84d6
Label	OSW Introduction
Machine compatible name	OswIntroduction
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Description

Introduction into the open-source software stack OpenSemanticLab: https://github.com/OpenSemanticLab/mediawiki-extensions-OpenSemanticLab

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Type(s)/Category(s)	Tutorial

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Article

Tutorial
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Prerequisites (optional)
Follow-up (recommended)	Transcend wikitext to store and edit structured & linked data OSW Python Package OSW Ontology Import Item:OSW92619b0700984fe7913e5fbbd7f194dc

View as slide show

doi: https://doi.org/10.5281/zenodo.8086418

Background

from: https://github.com/General-Process-Ontology/ontology

KIproBatt Project Usecase

from: https://kiprobatt.de

Motivation

Diagram OSW Introduction - motivation

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OpenSemanticWorld Concept

Diagram OSW Introduction data model

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Link to related technologies

Diagram OSW concept and included technologies

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Technology Stack

Diagram OSW Introduction technology stack

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Why (Semantic) MediaWiki?

• already powers large public knowledge bases (Wikipedia, Wikidata)
• Provides fundmental features
  • User management, OAuth / OIDC
  • Multi-Language / i18n support
  • API and botframeworks to automate everything
  • Multi-Content-Slots and Revisions / Versioning
  • Core database (SQL), multiple Triplestores (SPARQL), ElasticSearch
  • One of the most powerful (yet complex) template language
    • with visual editing
    • other options like mustache and markdown
  • > 1000 extensions: UI, data handling, custom content, etc.
• ... but it's just a container, the core JSON-based concept is highly portable

Link to Ontologies

• Ontology classes are just specific schemas / schemas represent "icons" of "real objects"
• Automatic import via python (see: Python Examples)
• Combination with data schemas, e. g. to populate autocomplete fields
• Not just a static documentation: Planned community interaction features
  • Comments => Github Issues,
  • Edits => Re-export => Github Pull request

Usecases and Applications

• Schema / Dataspace Catalogue
• Ontologies Documentation, Visualization, Demonstration (s. a. Onto-Wiki)
• Driver (=> CAMELS) , Tool and Workflow Registry (Early Demo)
• Easy access to data science workflows: Onterface
• LIMS, ELN (Demo), etc. in connection with ELN Standard Format, NOMAD, etc.
• ... whatever you want it to be

Tutorial Graph

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jsondata

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label	text "OSW Introduction" lang "en"
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