The development of artificial intelligence (AI) and natural language processing technologies are revolutionizing the way a search engine retrieves information. This interesting information came to us from Electronics 360 in their article, “AI, Natural Language Processing and Semantic Relationships are the Future of Search Engines.”

Computer algorithms interpret the words a user types and the number of web pages based on the frequency of linguistic connections in the billions of texts the system was trained on.

New to the scene is WordNet, a lexical database for the English language. It groups English words into sets of synonyms called synsets, provides short definitions and usage examples, and records a number of relations among these synonym sets or their members. Researchers developed a method to incorporate information from WordNet into informational retrieval systems. 

Semantic relationships are strengthened by professional annotators who hand-tune the results, and the algorithms that generate them. Web searchers tell the algorithms which connections are the best through what they click on.

By improving core natural language processing technologies for automatic information extraction and classification of texts, search engines built on these technologies can continue to improve.

Melody K. Smith

Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.