Content taxonomy is a hierarchical structure used in content classification to organize content into broader categories and subcategories. This structure helps in systematically arranging content, making it easier to navigate and locate specific information.

Tagging involves assigning keywords or tags to content, which helps in its classification by adding descriptive metadata. Indexing, on the other hand, refers to creating an index that lists the content and its attributes, facilitating quick retrieval of information.

Folksonomy is a user-generated classification system where users collaboratively create and manage tags to categorize content. Ontology, in contrast, is a formal representation of knowledge with defined relationships between concepts, providing a more structured approach to content classification.

Content metadata includes information about the content, such as author, date created, and keywords, which aids in its classification. Content analytics involves analyzing the metadata and other content attributes to gain insights into content usage, performance, and effectiveness.

Content labelling is the process of assigning labels to content for identification and classification purposes. Content hierarchy refers to the arrangement of content into different levels of importance or categories, often visualized as a tree structure, which helps in organizing and navigating content effectively.