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The 5 Key Components of a Semantic Search Experience

Semantic Search extends meaning and context to your otherwise run-of-the-mill search results. This future-ready phase of search seeks to apply machine-driven understanding of user intent, query context, and the relationships between words. We broke down the primary elements that make … Continue reading

Why a Knowledge Graph is the Best Way to Upgrade Your Taxonomy

Many organizations begin their journey in semantic solutions with a taxonomy. Taxonomies are simple information models that help organizations describe and structure their information in a hierarchy. They are effective for organizing content and data, but do not capture all … Continue reading

The Value of Taxonomy: Why Taxonomy (Still) Matters

After decades of taxonomy design consulting, I’m still amazed that some organizations doubt the value of effective enterprise taxonomy design. Though knowledge and information management technologies, as well as associated search technologies have changed, the core business value and use … Continue reading

Using Knowledge Graph Data Models to Solve Real Business Problems

A successful business today must possess the capacity to quickly glean valuable insights from massive amounts of data and information coming from diverse sources. The scale and speed at which companies are generating data and information, however, often makes this … Continue reading