# classification

> substantive organization of information implemented through a systematic selection language

**Wikidata**: [Q65707934](https://www.wikidata.org/wiki/Q65707934)  
**Source**: https://4ort.xyz/entity/classification

## Summary
Classification is the substantive organization of information implemented through a systematic selection language. It is a fundamental process in information science that involves separating and organizing data into relevant groups based on their shared characteristics. This systematic approach enables efficient retrieval, manipulation, and dissemination of information across various domains.

## Key Facts
- Classification is a core component of information science, which is primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval, and dissemination of information
- The process involves organizing data into relevant groups ("classes") based on shared characteristics
- Classification has a TDKIV term ID of 000001645 and a TDKIV Wikibase ID of Ems
- The concept is implemented through a systematic selection language
- Classification is classified as a subclass of information science
- The term has aliases including "systematic organization of information" and "systematic organisation of information"

## FAQs
### Q: What is the purpose of classification in information science?
A: Classification serves to organize information into meaningful groups based on shared characteristics, enabling efficient storage, retrieval, and manipulation of data. It provides a systematic framework for managing information resources and facilitates knowledge discovery.

### Q: How does classification differ from simple organization?
A: Classification involves a systematic selection language and follows established principles to group information based on shared characteristics, while simple organization may be more arbitrary. Classification creates a structured hierarchy that enables consistent categorization across different contexts.

### Q: What fields use classification systems?
A: Classification systems are used across multiple fields including library science, biology (taxonomy), computer science (data classification), information management, and knowledge organization. Any field that deals with large amounts of information requires systematic classification methods.

### Q: Who developed modern classification systems?
A: While classification has ancient roots, modern systematic classification in information science has been developed by numerous researchers and practitioners. Robert G. Chenhall, a systems engineer and computer scientist born in 1923, contributed to classification methodologies in his work.

## Why It Matters
Classification is fundamental to how humans organize and make sense of the world around them. In the digital age, where information volumes grow exponentially, effective classification systems are essential for managing knowledge and enabling efficient information retrieval. Without classification, we would be unable to systematically organize the vast amounts of data generated daily, making it nearly impossible to find relevant information when needed. Classification underpins search engines, library systems, biological taxonomy, and virtually every information management system in existence. It enables pattern recognition, supports decision-making processes, and facilitates knowledge transfer across disciplines. The systematic organization of information through classification directly impacts productivity, research capabilities, and our ability to build upon existing knowledge. In business and technology, proper classification drives data analytics, machine learning algorithms, and artificial intelligence systems that rely on structured data to function effectively.

## Notable For
- Provides the foundational framework for organizing all forms of information across disciplines
- Enables efficient information retrieval through systematic grouping based on shared characteristics
- Supports advanced technologies including search engines, AI systems, and data analytics platforms
- Creates standardized vocabularies that facilitate communication and knowledge sharing across domains
- Serves as the basis for more complex information organization systems and taxonomies

## Body
### Historical Development
Classification systems have evolved from simple categorical groupings in ancient civilizations to sophisticated, systematic approaches in modern information science. The development of formal classification methodologies parallels the growth of information management needs in libraries, scientific research, and commercial enterprises.

### Technical Implementation
Classification is implemented through systematic selection languages that define the rules and criteria for grouping information. These languages establish hierarchies, relationships, and attributes that determine how items are categorized and related to one another within the system.

### Relationship to Information Science
As a subclass of information science, classification represents one of the core methodologies for managing information resources. It works in conjunction with other information science practices including data manipulation, storage systems, retrieval mechanisms, and dissemination strategies.

### Applications Across Domains
Classification systems are applied in diverse contexts including biological taxonomy (classifying living organisms), library science (organizing books and resources), computer science (data classification and machine learning), business (product categorization), and knowledge management systems.

### Key Components
Effective classification systems typically include: a defined vocabulary or taxonomy, hierarchical structures, relationship definitions, selection criteria, and systematic rules for categorization. These components work together to create consistent and reliable organization of information resources.

## References

1. Wikibase TDKIV