Semantic Business Rules and Decision Models

Business Rule Management Systems (BRMS) are IT systems to externalize business logic in terms of business rules and to provide a facility for business rule and decision management.

Business rules describe the operations and constraints that apply to an organization in achieving its operational decisions and business  goals. They provide a declarative description of business policies, procedures and principles, which are then automated in the underlying rule-based IT systems, such as a semantic rule engine. This course is for business practitioners and IT professionals that want to learn how to use the power of Semantic Business Rules and Decision Models to accelerate and automate knowledge-based decisions and processes. It addresses the understanding of technologies, standards, and tools for automated business rules and decision models, with a focus on using semantic technologies for their automation.


Course facts

Date: on request

Type of course: Blended learning Seminar   

Course fee: 1900 Euro / per participant  


EIT Digital Professional School


Fraunhofer Institute for Open Communication Systems

Format Blended learning Seminar: 1 day online learning, 1 day face-to- face workshop   
2 days
Modules 1. Introduction and Basics in Semantic Technologies, declarative Knowledge Representation and Semantic Rule Technologies (Online Module)
2. Semantic Business Rules and Decision Management Technologies (Online Module)
3. Standards, Tools and Applications (Face-to-face- Training)  
Dates On request
Fraunhofer FOKUS, Kaiserin-Augusta-Allee 31, 10589 Berlin
1.900 Euro/ per participant

Business rules are everywhere! We have seen the rise of a new type of software called business rule management systems (BRMS) to manage and automate business and decision logic, e.g., in business process management and enterprise information management systems. The basic benefit of using semantic rule technologies for representing and automating business rules is that users employ semantic technologies to express what they want, while the responsibility to interpret this knowledge and to decide on how to do it is delegated to an automated rule engine. Semantic rule languages have been investigated comprehensively in the realms of semantic knowledge representation and Artificial Intelligence (AI) expert systems in the past decades and have matured in various rule standards and BRMS. They also support a recent trend from pure management of business rules to automated knowledge-based business decisions and actions. This semantic approach addresses an urgent need that businesses have nowadays: to change their business rules and decision logic in order to quickly react and adapt to a dynamic business environment, to overcome the restricting nature of slow IT change cycles, and to make fully or semi-automated machine reasoning and business decisions.

This course addresses the understanding of semantic technologies, standards and tools for the representation and automation of business rules and decision models.

The course is divided into three parts:

Online Modules:

- Introduction and Basics in Semantic Technologies and Knowledge Representation, Declarative Knowledge Representation and Semantic Rule Technologies

- Semantic Business Rules and Decision Models

Face- to- Face- Training:

- Standards, Tools and Applications

Semantic business rules bridge between business and IT. The course is for:
- Practitioners (Business Analysts, Business Rule Analysts, Modelers, Requirement Specialists, Project Leaders, ...)
- IT Professionals (IT Planners, Architects, Development Managers, Application Architects, System Designers, Software Developers ...)
- Business Professionals (Process Owners & Stewards, Compliance Workers, Auditors, Decision Makers, Planners, Subject Matter Experts, ...)
- Managers and Decision Makers (CEOs, CDOs, CIOs, CTOs, Operations Managers, Sales Managers, CRM Managers, Compliance Officers ... )

that want to learn how to use the power of semantic (business) rule technologies and decision models to accelerate knowledge-based decisions, processes and projects.

In the one week online session you will learn about the basics of semantic nowledge representation and reasoning with rule technologies and how they can be used for business rules and decision management automation.

The last day of the course is a face-to-face workshop. It gives an overview and tutorial on standards, tools and applications in the area of rules / decision modelling and management.

The topics are:

Online Session - Introduction and Basics

Introduction and Basics: Knowledge Representation and Reasoning in Artificial Intelligence – A Crash Course in Logics, General Concepts – Data, Information, Knowledge, Syntax, Semantics, and Pragmatics, Knowledge, Representation and Logic Languages

Semantic Business Rules – Rule-based Technologies: Business Rules, Semantic Rule Technologies, Production Rules and Reaction Rules

Face To Face Day  - Business Rules Technologies and Applications

Tutorial on Standards, Tools and Applications


What you will learn:

Understand the differences between data, information, knowledge, intelligence

What is semantics?

"Crash course" in logic and semantic knowledge representation

Learn about business rules and business rules management systems

Learn about semantic technologies for business rules representation and execution

Learn about different rule types: Derivation rules, Production rules, Reaction rules

Overview about rule standards