Search is not the same as it was a decade ago, let alone a month ago. The fact that “Google” is used as a verb is just one example. Not only has the grammar changed, the process itself has evolved. No longer is it keyword driven. Semantic technology seeks based on context. The Financial Express brought this topic to us in their article, “5 reasons for developers to build NLP and Semantic Search skill.”
This is all the result of a heavy investment in natural language processing and semantic technologies. These, along with speech-recognition, have the potential of enabling a future where search will transform into a smart machine that uses “connected knowledge” to answer significantly complex questions. We aren’t talking about Siri, but she certainly was a precursor to what the future holds.
Semantic technology and new artificial intelligence language continues 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.