Analyzing and Optimizing Content for the Semantic Layer

As I wrote in my previous post, Adding Context to Content in the Semantic Layer, the organizational challenge of effectively generating, managing, and distributing content can be addressed by integrating content into a semantic layer. The semantic layer enriches the content by incorporating data about it, using metadata to describe the context, topics, and entities represented in the content. Content, once enriched, can be interpreted and analyzed along with other data sources to support discoverability and distribution. To maximize the potential for content in the semantic layer, begin by doing a content analysis to assess its readiness and prepare it for ingestion. In this post, I share the factors that affect whether your content is ready for the semantic layer, how those factors are assessed (including nuances related to some sample use cases), and the steps to remediate the issues and gaps found in the content audit Content Analysis Defined Content analysis, or content auditing, is the process of assessing content against a set of defined, measurable criteria and the needs of the business and the content’s audiences.