Ontology deals with the nature of being and categorizing entities within a domain. Metadata uses ontologies to define and standardize terms, making data more interoperable. This relationship ensures that data from different sources can be understood and integrated seamlessly.

Taxonomy is the classification of information into hierarchical structures. Metadata aids in creating these taxonomies by providing descriptive tags and attributes. In SEO, metadata, such as title tags and meta descriptions, plays a significant role in improving a webpage's visibility on search engines. Accurate metadata ensures that content is easily discoverable by both users and search engines.

Metadata standards, like Dublin Core and schema.org, provide guidelines for creating consistent metadata. The Semantic Web extends this by enabling machines to understand and interpret metadata, facilitating smarter data integration and retrieval. This interplay between metadata standards and the Semantic Web is pivotal for creating a more connected and intelligent web.

Data tagging involves assigning metadata to specific pieces of data, aiding in their identification and retrieval. Data profiling examines the data’s quality and structure, often using metadata to summarize its contents. Together, these practices enhance the overall content structure, ensuring data is organized and accessible.

In data warehousing, metadata helps map out the data's origin, transformation, and storage. A business glossary, which often relies on metadata, standardizes terms and definitions across an organization. This standardization is crucial for maintaining data consistency and accuracy across business processes.