agentlans/library-classification-systems

Library Classification Systems

This comprehensive dataset contains hierarchical outlines of five major library classification systems, offering a valuable resource for researchers, librarians, and information scientists.

Classification System	Abbreviation	Primary Usage	Language	Entries
Dewey Decimal Classification	DDC	International	English	1,110
Library of Congress Classification	LCC	International	English	6,517
Universal Decimal Classification	UDC	International	English	2,431
Chinese Library Classification	CLC	China	Simplified Chinese	8,826
Regensburger Verbundklassifikation	RVK	German universities	German	5,032

Total Entries: 23,916

Note that the full classification systems are much more detailed than presented here. For DDC, LCC, and UDC, they have to be purchased from their organizations.

Data Structure

Each instance in the dataset represents a library classification entry.

The data is structured in JSONL (JSON Lines) format, with each entry containing the following fields:

Field	Type	Description	Example
call_number	string	The alphanumeric call number that uniquely identifies the classification	"AC1-999"
description	string	A textual description of the classification topic or subject area	"Collections. Series. Collected works"
broader	string or null	The call number of the parent/broader classification; null for root-level classifications	null (for a top-level classification)
narrower	list of strings	An array of call numbers representing child/narrower classifications	["AC1-195", "AC200", "AC801-895", "AC901-995", "AC999"]

Example Instance

{
  "call_number": "AC1-999",
  "description": "Collections. Series. Collected works",
  "broader": null,
  "narrower": ["AC1-195", "AC200", "AC801-895", "AC901-995", "AC999"]
}

Dataset Creation

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On 2024-09-18, publicly available classification outlines were collected from:

• LCC: Library of Congress Classification Outline
• UDC: Universal Decimal Classification Summary (ROSSIO Vocabulary Server)
• DDC: Dewey Services - Resources (OCLC)
• CLC: CLC Index
• RVK: RVK Online

Versions used:

• UDC Master Reference File (2011)
• DDC 23 Summaries
• RVK aktuelle csv-Datei (2023_2)

Data processing steps:

1. DDC: Downloaded summary PDF and formatted for consistency.
2. LCC: Converted Word files to plain text, extracting headings and call numbers programmatically.
3. UDC: Parsed udc-summary.rdf using RDFlib, retaining only English labels.
4. CLC: Crawled website, including only the first 3 hierarchy levels.
5. RVK: Processed CSV file, keeping only the first 3 hierarchy levels.

Supported Tasks and Leaderboards

This dataset is valuable for various tasks in information science and machine learning, including:

1. Hierarchical Text Classification
2. Library Science and Information Organization
3. Ontology and Knowledge Graph Construction
4. Comparative Studies of Classification Systems
5. Machine Learning for Library Cataloging

While no leaderboards are currently associated with this dataset, it provides opportunities for developing benchmarks in automated classification accuracy and ontology mapping.

Considerations for Using the Data

Social Impact

This dataset broadens access to library classification knowledge, potentially:

• Facilitating research in information science and digital humanities.
• Supporting improved information retrieval systems.
• Enhancing educational resources for library and information science students.

Discussion of Biases

Be aware that library classification systems may reflect historical, cultural, and geographical biases, such as:

• Overrepresentation of Western Perspectives
• Outdated Terminology or Categorizations
• Uneven Depth of Coverage across subject areas.

Known Limitations

1. Scope: Includes only freely available outlines, not complete texts.
2. Granularity: Detail levels vary across systems and subjects.
3. Currency: Updates to classification systems may not be immediately reflected.
4. Structural Differences: UDC's structure differs from DDC and LCC, affecting comparisons.

Additional Information

Dataset Curator

Alan Tseng

Licensing Information

Creative Commons Attribution 4.0 International (CC BY 4.0)