Taksonomimanager

Taksonomimanager, often referred to as a taxonomy manager, is a software component that provides centralized management of controlled vocabularies, taxonomies, and tagging schemes used to classify information across an organization. It stores terms in hierarchical trees, supports synonyms and term relationships, and associates metadata such as descriptions, language, and usage rules. The primary goals are to enable consistent tagging, improve search and navigation, and facilitate governance of vocabularies across systems.

Core features:

- Term repository with hierarchies

- Relationships (broader/narrower, related terms)

- Synonyms and language variants

- Localization/multilingual support

- Versioning, change logging, review workflows

- Import/export in formats such as SKOS, CSV, RDF

- APIs for integration (REST, GraphQL)

- Validation, constraints, and governance rules

- Access control and workflow-based permissions

- Mapping to external vocabularies and data sources

- Integration points with CMS, search, metadata pipelines

- Output formats for presenting taxonomy trees or facet values

Usage contexts:

Typical deployment contexts include content management systems, e-commerce catalogs, digital asset management, knowledge bases, and data governance initiatives. A taksonomimanager may be provided as a standalone service, a plug-in or module within an enterprise CMS, or a cloud-based SaaS offering. It supports standards-based representations such as SKOS or RDF, enabling interoperability with other data sources and semantic applications.

Implementation considerations:

Key concerns include scalability to large term sets, multilingual support, governance and approval workflows, and audit trails. Performance, data quality, and change impact on downstream systems are common considerations. Best practices emphasize clear naming conventions, consistent schema, and documented mappings between internal terms and external vocabularies.

See also: Taxonomy, Ontology, Metadata, Semantic search.