Content related to How to Leverage LLMs for Auto-tagging & Content Enrichment
Breaking it down: What is a Taxonomy?
A few years ago, I did an activity at a leadership retreat where each person slowly whittled down a list of words to a single word that most represented them. The word that I ended up with was “simplicity,” and … Continue reading
User-Centric Content Engineering to Improve Customer Experience
The Challenge A global financial firm needed to improve the user experience (UX) for its technical support documentation hub. Prior to EK’s involvement, the client company received user feedback expressing that interacting with the technical support documentation was cumbersome. Only … Continue reading
OmnichannelX 2021: How to Make Content a Maintainable Business Asset Through Structuring and Tagging
This presentation was delivered by Yanko Ivanov, Principal Solution Consultant, on June 9th at the international OmnichannelX 2021 web conference. In the presentation, Ivanov explores how componentized content combined with a rich taxonomy and ontology model enables a dramatic increase … Continue reading
What Software Engineering Can Teach Knowledge Engineers about Version Control
Information models like taxonomies and ontologies are rarely built independently, and they are never static. At EK, knowledge engineers partner with clients to build these models through an iterative process of design, validation, and implementation. The models that come out … Continue reading
How to Explain Ontologies to Any Audience
Recently, I’ve been thinking a lot about how we can better explain complex, semantic concepts like ontologies, knowledge graphs, and data fabrics to others in an approachable, easy-to-understand manner. I’ve been in any number of situations where I’ve struggled to … Continue reading
Translating AI from Concept to Reality: Five Keys to Implementing AI for Knowledge, Content, and Data
Lulit Tesfaye, a Partner and Director for Enterprise Knowledge’s Data and Information Management Division, presented on April 07, 2022 at the data.world Spring Virtual Summit 2022 on the topic of Translating AI from Concept to Reality: Five Keys to Implementing … Continue reading
Transforming Tabular Data into Personalized, Componentized Content using Knowledge Graphs in Python
My colleagues Joe Hilger and Neil Quinn recently wrote blogs highlighting the benefits of leveraging a knowledge graph in tandem with a componentized content management system (CCMS) to curate personalized content for users. Hilger set the stage explaining the business value of a personalized digital experience and the logistics of these two technologies supporting one … Continue reading
Content Personalization with Knowledge Graphs in Python
In a recent blog post, my colleague Joe Hilger described how a knowledge graph can be used in conjunction with a componentized content management system (CCMS) to provide personalized content to customers. This post will show the example data from Hilger’s post being loaded into a knowledge graph and queried to find the content appropriate … Continue reading
Designing Your Taxonomy to Fit Your Use Case: Advanced Taxonomy Use Cases (Part 2)
In my previous blog, I wrote about building a taxonomy for two foundational use cases – findability and navigation – that we commonly design for at EK. This blog will focus on two advanced, yet still common, taxonomy use cases. … Continue reading
Improving Product Documentation With a CCMS and a Knowledge Graph
The Challenge A financial solutions provider wanted to improve and personalize customer interaction with support and technical documentation as well as streamline the content authoring process to ensure consistent messaging and avoid duplicated information. Before the EK team’s involvement, technical … Continue reading