We speak often about semantic technology. Machine learning or semantic technology is the basis for most commercial artificial-intelligence systems, and it is about to do things a little differently. But what is semantic search? Search Engine Watch brought this news to us in their article, “What is semantic search and why does it matter?”
Semantic search seeks to improve search accuracy by understanding searcher intent and the contextual meaning of terms as they appear in the searchable dataspace. This is true in a closed system or on the Internet. It is providing context to a search query beyond just keywords.
Intent means a standard query and the context can mean anything from the location of the user, the time of day, their search history and what device they’re using.
Semantic technology and new artificial intelligence language continue to evolve and be used in a variety of applications. It has never been more important to have someone with the expertise and knowledge handling your content, developing your taxonomies, and making your information findable.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
