Content related to Why a Knowledge Graph is the Best Way to Upgrade Your Taxonomy
What is Artificial Intelligence (AI) for the Enterprise?
Artificial intelligence (AI) is set to be the key source of transformation, disruption, and competitive advantage in today’s fast-changing economy. Gartner estimates that AI will create $2.9 trillion in business value and 6.2 billion hours of worker productivity in 2021. … Continue reading
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
Taxonomy 101 Workshop: Taxonomy Definitions, Value and Best Practices
This presentation delivers a detailed understanding of taxonomy definitions, taxonomy value (ROI), and taxonomy design methodologies and approaches. It was originally delivered by Zach Wahl and Tatiana Cakici of Enterprise Knowledge at Taxonomy Boot Camp 2019 in Washington, DC.
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
Four Key Components of Enterprise Knowledge Graphs
Enterprise knowledge graphs are an incredibly valuable tool for relating your structured and unstructured information, allowing you to easily obtain actionable insights from large amounts of information across your enterprise. An enterprise knowledge graph is also an important foundation for … Continue reading
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
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
How to Distinguish Between Primary, Secondary, and Tertiary Metadata Fields
When designing an enterprise taxonomy, the number of possible metadata fields that can be used to describe content can be overwhelming. Depending on the type of content, the size of the organization, and the breadth of that organization’s functions, the … Continue reading
The Value of Taxonomy: Why Taxonomy (Still) Matters
After decades of taxonomy design consulting, I’m still amazed that some organizations doubt the value of effective enterprise taxonomy design. Though knowledge and information management technologies, as well as associated search technologies have changed, the core business value and use … Continue reading