METAPHACTS ACADEMY

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metis basics module

Goal

This module provides an overview of the AI capabilities in metaphactory.

Participants will learn how semantic modelling can be assisted with AI, how physical data sources metadata can be captured, and then mapped to semantic models. Finally, you will also learn about how to configure a conversational interface that allows you to “talk to your data”.

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Learning outcome

Throughout this guided tutorial, you will learn:

 

» How to set up the metis platform

» How to use and integrate AI services

» How to create your own search and discovery agent

Module structure

Intro

»  Overview of AI capabilities

Modelling with metis

»  Creating an ontology using metis

» Refining the model

 

Metadata of physical data sources

»  Understanding the semantic model for physical data sources

»  Importing a schema

»  Understanding the resulting data source

Mapping schemas: Bridging ontologies and physical data sources

»  Mapping ontologies to physical data sources with metis

»  Exploring the schema mappings

»  Manually editing schema mappings

Talk to your graph: Conversational AI

»  Setting up a conversational AI interface

»  Query and explore your data using conversation AI

Module summary

»  Module highlights

»  Next steps

What to expect

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Complete each module in 2.5 hours
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Virtual trainer-led sessions with examples & guidance
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Interactive learning with hands-on exercises
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Training instances prepared, hosted & maintained by metaphacts
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Slides & exercise material provided to you after training
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Ample practice time in-between training modules
Back to
the overview
metaphactory
basics
Visual modeling
basics
Visual modeling
advanced
App building
basics
App building
advanced

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