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Content related to Knowledge Graphs, Data Modeling, & AI

Knowledge Graphs Creating a Connected Search Experience

This presentation, delivered by Joseph Hilger of Enterprise Knowledge at KMWorld 2019 in Washington, D.C., defines knowledge graphs, explores how they are implemented, and outlines how they can be used to enhance enterprise search. Knowledge graphs are changing the way search … Continue reading »

The 5 Key Components of a Semantic Search Experience

Semantic Search extends meaning and context to your otherwise run-of-the-mill search results. This future-ready phase of search seeks to apply machine-driven understanding of user intent, query context, and the relationships between words. We broke down the primary elements that make … 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 »

Webinar: Laying KM Foundations for Successful and Transformative AI

Presented by EK’s Zach Wahl and Joe Hilger, this webinar discusses how AI can harness the full spectrum of your organization’s knowledge so that information can be efficiently found, used, and reused. In the webinar participants learned: • Why Knowledge … Continue reading »

How Leveraging Existing Taxonomies Can Jumpstart Ontology Design

Taxonomies and ontologies are both types of Knowledge Organization Systems, or KOS. Different types of KOS can be seen as a continuum, starting with a simple folksonomy where users of content can add free form tags with no control or … Continue reading »

Using Knowledge Graph Data Models to Solve Real Business Problems

A successful business today must possess the capacity to quickly glean valuable insights from massive amounts of data and information coming from diverse sources. The scale and speed at which companies are generating data and information, however, often makes this … Continue reading »