Content related to Knowledge Graphs for Search and Discovery
Understanding the Business Value of Headless CMS
Overview A headless CMS, one in which the content authoring “body” is separated from the content distribution channels (or heads), allows an organization to: Author once and publish to multiple channels; and Reuse the same content in multiple contexts. This … Continue reading
Knowledge AI: Content Recommender and Chatbot Powered by Auto-Tagging and an Enterprise Knowledge Graph
The Challenge A global development bank needed a better way to disseminate information and in-house expertise to all of their staff to support the efficient completion of projects, while also providing employees with an intuitive knowledge sharing tool that is … Continue reading
Five Steps to Implement Search with a Knowledge Graph
Knowledge Graphs and Search are commonly linked together to support search use cases such as: Returning contextual relationships with search results; Displaying relevant topics in a knowledge panel; or Powering an expert finder. These advanced use cases enable an organization … Continue reading
What is a Headless CMS?
Traditional content management systems (CMS) offer a full “one-stop-shop” for your organization’s content management needs. They allow you to author, manage, and deliver content to your end users all from a single solution. This approach is often called “monolithic,” as … Continue reading
Webinar: Knowledge Management Becomes Business Critical as Knowledge Graphs Improve Decision Making and Efficiency
Presented by Joe Hilger (COO of Enterprise Knowledge) and Atanas Kiryakov (CEO and Founder of Ontotext) on January 28th. In this webinar Hilger and Kiryakov explain how Knowledge Graphs and Ontotext’s GraphDB product enable greater findability of knowledge and information … Continue reading
What is Information Scent, and How do I Design for It?
Information Foraging When developing search for a website or intranet, getting to know your end-users and their behavioral tendencies is critical in order to improve the relevancy of search results. Being able to predict how users interact with the site … Continue reading
Evaluating Knowledge Graphs for Search
The Challenge A national research organization wanted to determine the feasibility of building an organization-wide knowledge graph by building a knowledge graph proof of concept (POC), and evaluate the organization’s readiness to adopt knowledge graphs. The organization is one of … Continue reading
Common Mistakes Made When Selecting Knowledge Management Technology
Technology is fundamental for any organization seeking to increase its Knowledge Management (KM) maturity or ensure the success of its KM program. When technology is mindfully selected and implemented, it can provide exceptional KM benefits: technology can capture knowledge, store … Continue reading
Designing Search on a Knowledge Graph
The Challenge A national research organization identified a high priority need to make research results easier to find. The organization manages multiple research domains that each produce hundreds of research projects, publications, and webinars annually on current, emerging, and critical … Continue reading
How Do I Update and Scale My Knowledge Graph?
Enterprise Knowledge Graph Governance Best Practices Successfully building, implementing, and scaling an enterprise knowledge graph is a serious undertaking. Those who have been successful at it would emphasize that it takes a clear definition of need (use cases), an appetite … Continue reading