There has been a revolution of technologies. Emerging technologies like deep learning and machine learning have resulted in tools capable of advancements never before seen. 

In the digital world, semantic technologies and procedures automate the classification of digital content and enable the assignment of content to specific topic areas. Semantic methods find a practical application where the optimal management of a constantly growing amount of online content contributes to the strategic goals of an organization.

Using taxonomies and semantic tagging of articles to enable subject browsing and to improve search are two of the most popular reasons why publishers invest in semantic technology, but the potential benefits are not limited to just those applications. 

A taxonomy, coupled with improved search and discovery, provides a new level of engagement with site visitors – helping them discover articles that match their interests and informing them of the full scope of benefits and activities that come with greater involvement in the organization.

As artificial intelligence (AI) and machine learning continue to evolve and advance, researchers have developed a new way for robots to see the world from a more human perspective. This has the potential to improve how technologies such as driverless cars and industrial or mobile robots operate and interact with people.

The problem with likening machine learning to human learning is that when humans learn, they connect the patterns they identify to high order semantic abstractions of the underlying objects and activities. Our background knowledge and perspective give us the necessary context to reason about those patterns and identify the ones most likely to represent robust actionable knowledge. Machines aren’t there just yet, but they are trying.

What does one or all of these have to do with making your content findable? Bringing intelligence (artificial or otherwise) to search may come in the form of advanced analytics, deep learning or other ways that predictive analysis can benefit the user.

Access Innovations makes heavy use of semantic modeling and digital design along with automation to mark up content whether in the conversion process from print to digital or from word processing formats to digital knowledge assets.

We are the intelligence and the technology behind world-class explainable AI solutions.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.