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Ontology / Knowledge Modelling

Ontology or Knowledge Modelling is the practice of defining a formal and structured representation of knowledge within a domain. It identifies the important…

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Knowledge Graph Modelling

Knowledge Graph Modelling is the practice of representing information as a network of interconnected entities and relationships, enriched with semantic meani…

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Metagraph Modelling

Metagraph Modelling is an advanced form of graph-based modelling in which nodes and relationships can themselves represent groups, sets, or even entire subgr…

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Canonical Data Modelling

Canonical Data Modelling is the practice of defining a standard, enterprise-wide representation of core data entities so that all systems within an organizat…

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Semantic Data Modelling

Semantic Data Modelling is the practice of designing data structures that are enriched with explicit business meaning so that both humans and machines can in…

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Conceptual Data Modelling (CDM)

Conceptual Data Modelling (CDM) provides a high-level, business-oriented view of data by identifying core entities and the relationships between them without…

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Logical Data Modelling (LDM)

Logical Data Modelling defines the detailed structure of data entities, attributes, and relationships by applying formal structural principles such as normal…

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Physical Data Modelling (PDM)

Physical Data Modelling defines the concrete implementation of data structures within a specific database platform. While the Logical Data Model specifies en…

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What is Normalization?

Normalization is the systematic process of organizing data into well-structured tables by decomposing it step by step into progressively refined forms. Its p…

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What is Denormalization?

Denormalization is the deliberate process of combining tables or reintroducing controlled redundancy into a data model to improve query performance and analy…