Semantic search is an advanced technology for knowledge discovery that employs a set of semantic technology techniques for retrieving knowledge from richly structured data sources. By using the knowledge graph model, it enables artificial intelligence (AI) systems to understand the meaning of concepts and the relationships between them, which leads to optimizing the accuracy of the results and making them highly contextual and personalized. This interesting topic was brought to us by the blog, Tech Jury, in their post, “Semantic Search – the Wind of Change.”
As more and more knowledge populates our digital landscape, it becomes increasingly challenging for machines to process and retrieve information on our behalf. This is where semantic search can come to the rescue. Unlike traditional lexical search where search engines look for literal matches of the query words and their variants, this new generation of searching works on the principles of semantics.
Bringing semantic technologies into the process of metadata management ensures that data is smarter for content as well as knowledge discovery and transfer. However, findability works only when a proper taxonomy is in place. Proper indexing against a strong standards-based taxonomy increases the findability of data. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies.
Melody K. Smith
Sponsored by Data Harmony, harmonizing knowledge for a better search experience.