Semantic search capabilities have the power to help solve many problems for organizations. It increases findability within the massive amounts of data available. But while semantic search is powerful – does it completely remove the need for manual indexing? Copyright Clearance Center brought us this interesting information in their article, “Does Semantic Search Remove the Need for Manual Indexing?”
Semantic search is a search query that aims to not only find keywords, but to determine the intent and contextual meaning of the the words a person is using for search. Because of this, semantic search provides more meaningful search results by evaluating and understanding the search phrase and finding the most relevant results in a website, database, or other data repository.
Semantic search systems may use automated methods such as named entity recognition or graph-based models. There is still room for both approaches in the market presently, meeting the needs of different use cases.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.