Semantic search

The Evolution of Search

By |March 21st, 2022|Access Insights, Featured|Comments Off on The Evolution of Search

Search is not simple. Not sure it ever was, but in these days of semantic enrichment, machine-assisted indexing, natural language processing (NLP) and artificial […]

AI and Your Semantic Journey

By |February 3rd, 2022|News|Comments Off on AI and Your Semantic Journey

Explaining artificial intelligence (AI) can be a challenge. This particular video demonstrates the challenges of explainable AI from different perspectives. It came to us […]

Search in Digital Times

By |January 12th, 2022|News|Comments Off on Search in Digital Times

Semantic search is an advanced technology for knowledge discovery that employs a set of semantic technology techniques for retrieving knowledge from richly structured data […]

Search Priorities

By |October 15th, 2021|News|Comments Off on Search Priorities

If a core component of your content strategy consists of identifying keywords and incorporating those throughout the content on your website, then your content […]

Improving Search in Academic Publishing

By |October 4th, 2021|News|Comments Off on Improving Search in Academic Publishing

Publishing in the academic world is in the middle of the same digital transformation as so many other industries – just maybe not as […]

The Breadth and Depth of AI Technology

By |September 8th, 2021|News|Comments Off on The Breadth and Depth of AI Technology

Many people are unaware that artificial intelligence (AI) is already used in several daily life and business applications, most likely because it isn’t always […]

Business Intelligence and Semantic Search

By |August 24th, 2021|News|Comments Off on Business Intelligence and Semantic Search

The strategic use of business intelligence (BI) can benefit an organization in many ways. From day-to-day decision making to forecasting for the future, BI […]

Powering Search

By |August 23rd, 2021|Access Insights, Featured|Comments Off on Powering Search

Semantic search seeks to improve search accuracy by understanding searcher intent and the contextual meaning of terms as they appear in the searchable dataspace. […]