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Training¤

This section contains the material of the eccenca Corporate Memory training, as trainers present it in class. Each module combines the slides with a written explanation of every slide, so the material also serves for self-study and as a reference after a training.

Draft

This section is a draft. It contains the four theory modules, material for the product-related sessions follows.

Modules¤

  • RDF and Linked Data Foundations


    Syntax and semantics, the Semantic Web and Linked Data, the RDF data model and the Turtle syntax.

  • SPARQL Basics


    Graph patterns, filters, solution modifiers, query forms, aggregation and updates, with exercises on the product Knowledge Graph.

  • Ontology Modeling


    Classes, properties and inference with RDF Schema, and the richer axioms of OWL.

  • Ontology Engineering


    Hands-on: from competency questions and a domain description to a formal vocabulary.

Two-day training¤

The modules follow the two-day training. Theory alternates with hands-on sessions in Corporate Memory, which use the tutorials of this documentation.

Day 1: Build¤

Session Material
Introduction to eccenca Corporate Memory: build, explore, consume and govern Getting Started
RDF and Linked Data foundations Module
Ontology modeling with RDF Schema and OWL Module
Hands-on: ontology engineering for the product domain Module, Visually Authoring Ontologies
Hands-on: register the products vocabulary, lift the hardware, services and organization data, combine them in a workflow Lift data from tabular data, Lift data from JSON and XML sources, Workflows
Hands-on: link similar products, try active learning Active learning
Hands-on: schedule a workflow Scheduling workflows
Hands-on: visualize the integration graph Graph Insights

Day 2: Explore, consume and govern¤

Session Material
SPARQL basics, with query exercises Module, Query module
Hands-on: build a thesaurus Thesauri management
Hands-on: SHACL shapes for forms and validation Building a customized user interface
Hands-on: charts and the Business Knowledge Editor Charts catalog, Business Knowledge Editor
Hands-on: expose data through a custom API Provide data in any format via a custom API
Workspace configuration and access conditions Workspace configuration, Access conditions
Automation with cmemc, variable input workflows and CI/CD cmemc, Variable input workflows, Continuous integration
Outlook: Companion, agentic AI and the MCP server Companion, Agent integration

Try it¤

The Community Edition sandbox provides a Corporate Memory instance for the hands-on exercises.

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