Meeting the Challenge of
Knowledge-Intensive Automation
Marco C. Bettoni
FHBB

21.04.00

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Index

Meeting the Challenge of Knowledge-Intensive Automation - Marco C. Bettoni - FHBB

Abstract

Biography

Parts

Knowledge Intensive Automation (KIA): Topics

Trend towards KIA applications

Open Knowledge Society

Evolution of IS-Applications

Knowledge Intensive Tasks

Tax Return Assessment Task

Automation by Knowledge Modeling

The Knowledge Principle

Knowledge Models with Flow-Based SW: Properties

Knowledge Models with Flow-Based SW: Problems

Evolution of SW Technologies

Knowledge-Based Expert Systems: Concept

Rule-Based Expert Systems: Benefits

ATA Case Study: Topics

Tax Return Assessment (TRA)

TRA Problem at STV-BL

TRA Automation: Objectives

TRA Automation: Requirements

Allegro Tax Assistant (ATA)

TRA Workflow with ATA

ATA Case Study: Expert Rules

ATA Knowledge Model: Hierarchy

ATA Knowledge Model: Tasks

ATA Architecture: Integration

ATA Architecture: Prototype

ATA Architecture: Redesign

ATA Validation

Next Steps

Lessons Learned 1

Lessons Learned 2

Session Summary

Author: Marco Bettoni

E-Mail: marco.bettoni@weknow.ch

Homepage: www.weknow.ch