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Content related to Using Facets to Find Unstructured Content

Natural Language Processing and Taxonomy Design

Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that processes and analyzes human language found in text. Some of the exciting capabilities that NLP offers includes parsing out the significant entities in content through a statistical analysis … Continue reading »

Applying The Five Laws of Library Science to your Next Taxonomy or Digital Product

The rate at which we are producing new information is unprecedented. Each year our ability to capture and create information becomes easier. As a result, the need to find information becomes more and more important. Designing the structure of information … Continue reading »

Overcoming Enterprise Taxonomy and Ontology Design Challenges

In almost every taxonomy project, certain inescapable challenges arise. Many of these are the tangible business challenges, such as gaining stakeholder buy-in, configuring systems implementation and integration, drafting a governance procedure, and ensuring the business needs are met during every … Continue reading »

What’s the Difference Between an Ontology and a Knowledge Graph?

As semantic applications become increasingly hot topics in the industry, clients often come to EK asking about ontologies and knowledge graphs. Specifically, they want to know the differences between the two. Are ontologies and knowledge graphs the same thing? If … Continue reading »

Why a Knowledge Graph is the Best Way to Upgrade Your Taxonomy

Many organizations begin their journey in semantic solutions with a taxonomy. Taxonomies are simple information models that help organizations describe and structure their information in a hierarchy. They are effective for organizing content and data, but do not capture all … Continue reading »