Skip to main content
NounStudy
Back to Course Catalog
DAM344Sciences2 Unitsintermediate

Semantic Data Modelling

This course covers principal topics in understanding the general concepts of data modelling, its benefits and limitations. The principles of semantic data modelling, semantic data models and semantic introduction to database, as well as its applications in the computer and business environment, also fall within the content of this course. It is designed for B.Sc. Computer Science students.

Generate AI Study Notes

Transform this course into personalized study materials with AI

40h
Study Time
13
Weeks
3h
Per Week
none
Math Level
Course Keywords
Semantic Data ModellingData ModelsDatabase Management SystemConceptual Data ModellingSemantic Data

Course Overview

Everything you need to know about this course

Course Difficulty

Intermediate Level
Builds on foundational knowledge
65%
intermediate
📚
Math Level
No Math
📖
Learning Type
Theoretical Focus

Course Topics

Key areas covered in this course

1

Data Modelling Concepts

2

Semantic Data Modelling Principles

3

Data Integrity Rules

4

Semantic Data Models

5

Semantic Data Language

6

Semantic Annotation

7

Business Semantics

Total Topics7 topics

Ready to Start

No specific requirements needed

This course is designed to be accessible to all students. You can start immediately without any prior knowledge or specific preparation.

Assessment Methods

How your progress will be evaluated (3 methods)

assignments

Comprehensive evaluation of course material understanding

Written Assessment

tutor-marked assignments

Comprehensive evaluation of course material understanding

Written Assessment

final examination

Comprehensive evaluation of course material understanding

Written Assessment

Career Opportunities

Explore the career paths this course opens up for you

Database Designer

Apply your skills in this growing field

Data Modeler

Apply your skills in this growing field

Data Analyst

Apply your skills in this growing field

Information Architect

Apply your skills in this growing field

Database Administrator

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

Information TechnologyDatabase ManagementSoftware DevelopmentData AnalysisBusiness Intelligence

Study Schedule Beta

A structured 13-week journey through the course content

Week
1

Module 1: Concepts of Data Modelling

3h

Unit 1: DATA MODELS

3 study hours
  • •Read the introduction to understand the purpose and importance of data models.
  • •Define data models and explain their role in information systems.
  • •Identify and describe the three types of data models: conceptual, logical, and physical.
Week
2

Module 1: Concepts of Data Modelling

3h

Unit 2: OVERVIEW OF DATA MODELLING

3 study hours
  • •Explain the steps involved in data modeling, including identifying entity types and attributes.
  • •Discuss data naming conventions and their importance in maintaining consistency.
  • •Describe how to identify relationships between entities and apply data model patterns.
Week
3

Module 1: Concepts of Data Modelling

3h

Unit 3: DATA MODELLING CONCEPTS

3 study hours
  • •Discuss normalization and denormalization techniques to reduce data redundancy and improve performance.
  • •Analyze the advantages and disadvantages of data models.
  • •Examine the limitations of data models and their impact on system design.
Week
4

Module 2: SEMANTIC DATA MODELLING

3h

Unit 1: Overview of Semantic Data Modelling

3 study hours
  • •Define semantic data modeling and its role in database management systems.
  • •Explain the principles of semantic data modeling, including classification, aggregation, and generalization.
  • •Discuss data integrity rules and their enforcement in semantic data models.
Week
5

Module 2: SEMANTIC DATA MODELLING

3h

Unit 2: Semantic Data Models

3 study hours
  • •Explain additional data restrictions and declarative data derivations.
  • •Understand how these concepts enhance the expressiveness of semantic data models.
  • •Explore the history and evolution of semantic data models.
Week
6

Module 2: SEMANTIC DATA MODELLING

3h

Unit 3: SEMANTIC DATA MODELLING CONCEPTS

3 study hours
  • •Define semantic data models and their requirements.
  • •Compare the advantages of semantic data models over conventional data models.
  • •Identify various applications of semantic data models in different domains.
Week
7

Module 3: AREAS OF APPLICATION OF SEMANTIC MODELLING

3h

Unit 1: APPLICATION IN COMPUTER

3 study hours
  • •Explain the essential elements of semantic data language.
  • •Describe the organization of semantic models, including semantic data in the database and metadata for models.
  • •Discuss statements, triple uniqueness, and data types for literals.
Week
8

Module 3: AREAS OF APPLICATION OF SEMANTIC MODELLING

3h

Unit 1: APPLICATION IN COMPUTER

3 study hours
  • •Explain subjects, objects, blank nodes, and properties in semantic data modeling.
  • •Discuss inferencing, rules, rulebases, and rules indexes.
  • •Understand virtual models and semantic data security considerations.
Week
9

Module 3: AREAS OF APPLICATION OF SEMANTIC MODELLING

3h

Unit 1: APPLICATION IN COMPUTER

3 study hours
  • •Describe semantic annotation, indexing, and retrieval techniques.
  • •Explain the semantic annotation model and representation.
  • •Discuss the semantic annotation process, indexing, and retrieval methods.
Week
10

Module 3: AREAS OF APPLICATION OF SEMANTIC MODELLING

3h

Unit 2: APPLICATION IN BUSINESS

3 study hours
  • •Explain the concepts of entities, design, and indexing in semantic modeling.
  • •Discuss the challenges of a shared data model.
  • •Describe business semantics for application integration, including semantic alignment, flexibility, and governance.
Week
11

Module 3: AREAS OF APPLICATION OF SEMANTIC MODELLING

3h

Unit 2: APPLICATION IN BUSINESS

3 study hours
  • •Provide an example from the supply chain industry illustrating the application of semantic data modeling.
  • •Discuss the business semantics management product suite.
  • •Understand the benefits of semantic data modeling in business applications.
Week
12

Module 1: Concepts of Data Modelling

3h

Unit 3: DATA MODELLING CONCEPTS

3 study hours
  • •Review all units from Module 1: Concepts of Data Modelling.
  • •Focus on understanding the different types of data models and their applications.
  • •Practice identifying entity types, attributes, and relationships in sample scenarios.
Week
13

Module 2: SEMANTIC DATA MODELLING

3h

Unit 3: SEMANTIC DATA MODELLING CONCEPTS

3 study hours
  • •Review all units from Module 2: SEMANTIC DATA MODELLING.
  • •Focus on understanding the principles of semantic data modeling and their advantages.
  • •Practice applying semantic data modeling techniques to real-world problems.

This study schedule is in beta and may not be accurate. Please use it as a guide and consult the course outline for the most accurate information.

Course PDF Material

Read the complete course material as provided by NOUN.

Access PDF Material

Study Tips & Exam Preparation

Expert tips to help you succeed in this course

1

Review the definition of semantic data modeling and its importance in database management systems.

2

Understand the major concepts and techniques involved in general data modeling and semantic data modeling.

3

Practice writing semantic data language and applying it to database management systems.

4

Focus on understanding the principles of semantic data modeling and their applications.

5

Review the examples of semantic data models and their applications in different domains.

Related Courses

Other courses in Sciences that complement your learning

BIO303

General Cytology

2 Units
PHY306

Optics II

2 Units
CHM305

Organic Chemistry Iii

3 Units
View All Sciences Courses