Taxonomy & Ontology Design
Why a Taxonomist Should Know SPARQL
As the Knowledge and Information Management field moves towards adopting semantic technologies like ontologies and enterprise knowledge graphs, taxonomists and taxonomy managers need to know about W3C semantic web standards including RDF, SKOS, SPARQL because data is becoming more interconnected … 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 »
Using Facets to Find Unstructured Content
What does ‘faceted navigation’ mean to you? For web-savvy individuals, it’s a search experience similar to that which you would find on Amazon. Facets primarily allow an individual to quickly sort through large amounts of information to locate a single … 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.
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 »
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 »
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 »
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 »