Ontologies for Business Analysis

Ontologies for Business Analysis, available at $84.99, has an average rating of 4.52, with 35 lectures, 2 quizzes, based on 2371 reviews, and has 7509 subscribers.

You will learn about Conceptualise ontologies in the context of business analysis, with a focus on their purpose, importance and the underlying business case for their application Understand how to define 'blueprints' for organising enterprise domain knowledge by using the building blocks of ontologies and how they are arranged Appreciate the importance of rigour in business modelling, by capturing formal semantics (meaning) and logical axioms for defining business rules Become familiar with the Web Ontology Language (OWL) for building structures that have inherently complex relationships This course is ideal for individuals who are Professionals who work in the field of business analysis, enterprise analysis, enterprise architecture and knowledge management or Change champions willing to keep abreast of leading-edge methods for supporting enterprise and business transformation programmes or Data modellers and information architects (but more generally people who work with structured modelling approaches for data and information) who do not have prior exposure to ontologies or Practitioners involved in model-driven and service-oriented architectures with an interest in systems interoperability or Academics with an interest in the ground-breaking applications of ontology tools and techniques It is particularly useful for Professionals who work in the field of business analysis, enterprise analysis, enterprise architecture and knowledge management or Change champions willing to keep abreast of leading-edge methods for supporting enterprise and business transformation programmes or Data modellers and information architects (but more generally people who work with structured modelling approaches for data and information) who do not have prior exposure to ontologies or Practitioners involved in model-driven and service-oriented architectures with an interest in systems interoperability or Academics with an interest in the ground-breaking applications of ontology tools and techniques.

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Summary

Title: Ontologies for Business Analysis

Price: $84.99

Average Rating: 4.52

Number of Lectures: 35

Number of Quizzes: 2

Number of Published Lectures: 35

Number of Published Quizzes: 2

Number of Curriculum Items: 37

Number of Published Curriculum Objects: 37

Original Price: £44.99

Quality Status: approved

Status: Live

What You Will Learn

Conceptualise ontologies in the context of business analysis, with a focus on their purpose, importance and the underlying business case for their application
Understand how to define 'blueprints' for organising enterprise domain knowledge by using the building blocks of ontologies and how they are arranged
Appreciate the importance of rigour in business modelling, by capturing formal semantics (meaning) and logical axioms for defining business rules
Become familiar with the Web Ontology Language (OWL) for building structures that have inherently complex relationships

Who Should Attend

Professionals who work in the field of business analysis, enterprise analysis, enterprise architecture and knowledge management
Change champions willing to keep abreast of leading-edge methods for supporting enterprise and business transformation programmes
Data modellers and information architects (but more generally people who work with structured modelling approaches for data and information) who do not have prior exposure to ontologies
Practitioners involved in model-driven and service-oriented architectures with an interest in systems interoperability
Academics with an interest in the ground-breaking applications of ontology tools and techniques

Target Audiences

Professionals who work in the field of business analysis, enterprise analysis, enterprise architecture and knowledge management
Change champions willing to keep abreast of leading-edge methods for supporting enterprise and business transformation programmes
Data modellers and information architects (but more generally people who work with structured modelling approaches for data and information) who do not have prior exposure to ontologies
Practitioners involved in model-driven and service-oriented architectures with an interest in systems interoperability
Academics with an interest in the ground-breaking applications of ontology tools and techniques

The practice of Business Analysis revolves around the formation, transformation and finalisation of requirements to recommend suitable solutions to support enterprise change programmes. Practitioners working in the field of business analysis apply a wide range of modelling tools to capture the various perspectives of the enterprise, for example, business process perspective, data flow perspective, functional perspective, static structure perspective, and more. These tools aid in decision support and are especially useful in the effort towards the transformation of a business into the “intelligent enterprise”, in other words, one which is to some extent “self-describing” and able to adapt to organisational change.

However, a fundamental piece remains missing from the puzzle. Achieving this capability requires us to think beyond the idea of simply using the current mainstream modelling tools. Instead, we need to take into account methods that provide a basis for sharing meaning at both human and computational level, and that are geared to capturing the semantics (i.e. the meaning) of entities that describe our enterprise perspectives. This is where the concept of ontologies come in. Ontologies are representations that provide a basis for sharing meaning at human and computational level, and are an invaluable addition to any business analyst’s toolkit.

Ontologies help you formally represent domain knowledge that is accurate and reusable, which aligns very well with your reuse strategy for enterprise knowledge. Ontologies are platform-agnostic knowledge models and building them does not require you to have any extensive technical or software engineering skills. This means that as business analyst, you are able to produce the blueprints for any system or software design project, allowing you to more rapidly prototype information structures and test them out before passing your specifications over to software engineers to implement. Consequently, ontology modelling empowers business analysts as information and knowledge architects.

In addition, ontologies are extremely relevant to the area of information systems interoperability, providing you with the mechanisms to drive semantic data exchange and federation across multiple information sources and repositories. They can also be extended into structured knowledge bases for constantly-evolving linked data that have complex relationships and are held in dynamic schemas, thereby responding very well to changes in organisational knowledge. The thing is – that’s just a glimpse of some of the useful benefits of ontologies from a business analysis standpoint – ontologies, in practice, do much more than that!

This course is intended to be a game changer, focusing on providing a comprehensive introduction to ontologies in the context of business analysis application, in order to encourage the adoption of the approach. The material provided in the course covers relevant background information to get comfortable with the concepts being explained, the justifications for applying ontologies in business analysis practice, walkthrough examples, and other important details that are pertinent for you to be able to hit the ground running with using ontologies within your own business analysis pipeline. Become a pioneer of applied ontology in the field of business analysis and lead the way to telling your success story!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome to the course!

Lecture 2: Course structure and outcomes

Lecture 3: Checkpoint: Will this course meet my needs?

Lecture 4: Summary

Chapter 2: Background to ontology modelling

Lecture 1: Ontology at a glance

Lecture 2: Structure of an ontology

Lecture 3: Ontology representation

Lecture 4: Ontology from a logic-based perspective

Lecture 5: Summary

Chapter 3: Anatomy of a machine-interpretable ontology

Lecture 1: Overview

Lecture 2: Getting started

Lecture 3: Class hierarchy

Lecture 4: Property hierarchy

Lecture 5: Class descriptions

Lecture 6: Individuals

Lecture 7: Ontology visualisation

Lecture 8: Summary

Chapter 4: Benefits of ontologies in Business Analysis

Lecture 1: Case for ontologies in business analysis: Part 1

Lecture 2: Case for ontologies in business analysis: Part 2

Lecture 3: Ontologies and interoperability

Lecture 4: MDA, MDI, SOA and ontologies

Lecture 5: [Audio] Cost-benefit implications of ontology development

Lecture 6: Example applications of ontologies

Lecture 7: Summary

Chapter 5: Ontology development and deployment

Lecture 1: Ontology-based business processes and rules

Lecture 2: Ontology-driven systems

Lecture 3: Ontology-based system development

Lecture 4: Ontology mapping

Lecture 5: Ontology reuse

Lecture 6: Summary

Chapter 6: Course wrap-up

Lecture 1: Further discussions

Lecture 2: Final words

Lecture 3: Course slides

Lecture 4: Acknowledgements and more

Lecture 5: Bonus lecture

Instructors

Tish Chungoora
Knowledge Graph Consultant | Ph.D. | CSPO | BCS Certified

Rating Distribution

1 stars: 16 votes
2 stars: 39 votes
3 stars: 303 votes
4 stars: 888 votes
5 stars: 1125 votes

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