Content related to Using Knowledge Graph Data Models to Solve Real Business Problems
How to Build a Knowledge Graph in Four Steps: The Roadmap From Metadata to AI
The scale and speed at which data and information are being generated today makes it challenging for organizations to effectively capture valuable insights from massive amounts of information and diverse sources. We rely on Google, Amazon, Alexa, and other chatbots … Continue reading
SharePointSaga! Determining Which Version of SharePoint is Right for Your Migration
In this trilogy + prequel blog series we will explore all the possibilities of your SharePoint upgrade/migration journey. “Punch it!!” Episode 1: Exploring SharePoint 2016, 2019, and Online (The Phantom Versions) Microsoft’s SharePoint products and technologies have enjoyed explosive growth … Continue reading
What is an Action-Oriented Search Result?
Anytime Google updates their search experience, the subtle change seems to be snuck into the search engine overnight to either gently surprise the detail-oriented or to otherwise go unnoticed. However, one of Google’s most impactful, and definitely most noticeable changes, … Continue reading
How to Optimize Data Governance with Enterprise Knowledge Graphs
At EK, we know knowledge graphs are the best tool for mastering data governance at organizations. This whitepaper details the key principles and challenges of data governance and demonstrates how using knowledge graphs can ensure successful data governance. Data governance … 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
Fixing Enterprise Search Without Changing Code
Too many of the business clients I work with feel that they are powerless when it comes to fixing their enterprise search problems. While these individuals are able to say what content is relevant, they feel dependent on IT to … Continue reading
Increase the Re-Use of Knowledge Assets with Semantic Hubs
In my last blog, I discussed how knowledge graphs aggregate information from multiple systems to enable powerful search and discovery tools. A semantic hub (or semantic middleware) is a metadata-enhanced bridge that connects a knowledge graph to user-facing applications, helping … Continue reading
The Roadmap to Open, Accessible, and Machine-Readable Data
In January, the federal government passed a new law to improve data management at federal agencies, H.R. 4174, the “Foundations for Evidence-based Policymaking Act of 2018”. The law includes the Open, Public, Electronic, and Necessary Government Data Act, or the … Continue reading
The Cost of Doing Nothing: The Business Case for Knowledge and Information Management
For many organizations, investment decisions on Knowledge, Data, and Information Management initiatives are driven by high-level business objectives such as increased efficiency, productivity, competitive advantage, and enhanced employee or customer engagement. While aligning Knowledge and Information Management initiatives with business … Continue reading
Knowledge Graphs for Data Governance
The explosion of data and data scientists is making data governance more important, and more difficult. Most large organizations have thousands of data files and a wide range of users working with those files. The size and complexity of these … Continue reading