Search has seen some dramatic changes in recent years, and most attribute that to semantic technology. It has become the normal expectation for users that a search engine would understand inference in natural language versus the query model used for so long. This interesting information came from Semantic Web in their post, “The Changing Landscape of Search Centers On the Semantic Web.”

This shift in search has dramatic implications for marketers, consumers, technology developers, and content creators. Who is to say what the future will bring and what the next “new thing” will be? Search has reached a level of sophistication that few expected.

Understanding how semantic search works is always a benefit. Many tools are being built on the concept of natural language processing and understanding to make discovery more meaningful by semantically enriching content. However, it does require special knowledge of terminology and coding to reduce errors. Access Innovations, developer of the M.A.I. machine-assisted indexing system and specializing in complex coding, tagging, and indexing, provides a range of services that deliver tag integrity.

Melody K. Smith

Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.