Enterprise Content and Search Management for Building Digital Platforms by Shailesh Kumar Shivakumar

Author:Shailesh Kumar Shivakumar
Language: eng
Format: epub
ISBN: 9781119206835
Publisher: Wiley
Published: 2016-11-02T00:00:00+00:00

Metadata Hierarchy Modeling

The first step in creating a metadata hierarchy is to understand the terms and values needed for the application. A taxonomist along with a content strategist will lead this exercise. An enterprise-wide taxonomy may contain the terms needed for various enterprise applications. We can update them as needed by the application and reuse wherever required.

System-specific metadata is owned and managed by CMS. For modeling application-specific metadata we need to understand the business terms, content hierarchy, and interrelationships and model them in taxonomy. The basic properties or attributes for content become its metadata. For example, language and target audience become metadata attributes for Web content targeted across multiple geographies; product attributes (such as model, title, and name) become metadata for product content.

In many cases an existing content hierarchy can be used for metadata hierarchy modeling as well. For instance, in an e-commerce solution domain, the product hierarchy is fairly well structured. We can model the product metadata using the same hierarchy.

Taxonomy contains facets (or groups) for modeling term hierarchies and for term categorization. Common taxonomy facets are business domain (for modeling common business domains such as finance, marketing and sales), industry (for modeling industrial domains such as retail, manufacturing, life sciences, education, and the like), geography (for categorizing terms belonging to a region, country, or city), language (to group languages), roles (to model various user roles), content format (to depict various formats such as text, video, image, etc.), and audience (to depict target audience). Taxonomy facets also vary based on the enterprise domain. For an e-commerce organization, products and its related attributes (such as product model, product price range, etc.) may form important facets. Facets and taxonomy terms can be used as content metadata values during content creation.

An example of target audience metadata is shown in Figure 6.3.

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