Back in May of 2012, Google announced the Knowledge Graph, its first foray into semantic search[1]. Semantic search seeks to understand a user’s intent and provide relevant information through artificial intelligence. Semantic technology was originally developed for US intelligence operations and surfaced in the search engine community in 2008[2]. As search engines struggle to figure out how exactly to incorporate semantic search, NTENT is a couple of steps ahead. As strides in artificial intelligence (AI) research are made and expressions are added to semantic databases, this technology will prove even more valuable in search.
THE NTENT ADVANTAGE
It is interesting that Google is just now working on its semantic search technology when we, at NTENT, have been at the forefront for years now. Google, essentially the creator of search, is realizing – slowly but surely – that semantic search is the way to go. NTENT has already bridged the gap between search and display advertising and our semantic network already encompasses over 2.5 million expressions. And while Google continues to try to realize mobile monetization with its soon-to-be-released Enhanced Campaigns, NTENT has already released a semantic-based Android app with much more mobile support to come in the near-future.
[1] “Introducing the Knowledge Graph: things, not strings.” http://googleblog.blogspot.com/2012/05/introducing-knowledge-graph-things-not.html
[2] “How Search & Social Engines Are Using Semantic Search.” http://searchengineland.com/semantic-search-what-is-it-how-are-major-search-and-social-engines-use-it-part-1-133160?utm_campaign=wall&utm_source=socialflow&utm_medium=facebook
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