Introduction
In library classification and knowledge organization, the Principle of Context Dependency is an important concept. It highlights how the meaning and classification of a subject can depend on the context in which it appears. This principle is especially important in faceted classification systems, such as Colon Classification developed by Dr. S. R. Ranganathan.
What is the Principle of Context Dependency?
The Principle of Context Dependency states that a subject’s meaning or classification may change depending on its relationship with other concepts or the environment in which it is used. The subject does not exist in isolation; rather, it gains meaning through its association with other facets or categories.
Example of Context Dependency
Let’s take an example of the word “Light”:
- In Physics, it refers to a type of energy (electromagnetic radiation).
- In Art, it may mean the brightness in a painting or photograph.
- In Literature, it may be used metaphorically to signify hope.
This shows that the same term has different meanings depending on the context.
Application in Library Classification
Faceted classification systems like Colon Classification use this principle when creating class numbers. The classification number assigned to a subject may change depending on:
- Its relation with other subjects (co-classification)
- The discipline under which it is studied
- The purpose or objective of study
Example:
“Statistics” as a subject:
- In Economics: Economic Statistics
- In Education: Educational Statistics
- In Medicine: Medical Statistics
Even though “Statistics” is the same, its classification number changes depending on the discipline.
Importance of the Principle
- Helps in accurate classification of complex or interdisciplinary subjects
- Improves user access by allowing resources to be found in their correct context
- Supports flexibility in knowledge organization
Conclusion
The Principle of Context Dependency is a foundational idea in modern classification systems. It ensures that subjects are not classified in a rigid or isolated way, but are understood based on their relationship to other subjects and their use. This makes the classification system more dynamic, relevant, and useful for diverse users.