Blog Archives
A Data Scientist Perspective on Knowledge Graphs (Part 1): the Data-Driven Challenge
Photographer: Johannes Plenio This series of articles is a data scientist, and data engineer, perspective on knowledge graphs, which is intended not only for other data scientists and engineers, the nerdy role in the office that no one truly understands; … Continue reading
Trimming an Untamed Taxonomy
When your taxonomy has overgrown your path towards usability, it’s time to do some gardening. Congratulations: you have a taxonomy! You’ve gone through the work of gathering user feedback, developing a design, validating the design, and you’ve come out the … 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
Taxonomy Use Cases: How To Estimate Effort and Complexity
When asked to define taxonomy, I like to define it as a method rather than a thing. I typically say taxonomy is a way of categorizing things hierarchically, from general to more specific. Sounds simple enough, right? After all, who … Continue reading
3 Steps to Developing a Practical Knowledge Management Strategy: Step 3 Develop a Practical KM Roadmap
There are three key questions to ask when developing a Knowledge Management (KM) strategy: where are you, where do you want to be, and how do you ensure you get there successfully? These are the three pillars crucial for the … Continue reading
5 Reasons Why Mergers and Acquisitions Need KM
Many factors can impact the success of a merger and acquisition (M&A) transaction including economic uncertainty, proper target identification, accurately valuating a target, a stable regulatory and legislative environment, and a sound due diligence process. Due to the COVID-19 pandemic, … Continue reading
Enterprise AI Readiness Assessment
Understand your organization’s priority areas before committing resources to mature your information and data management solutions. Enterprise Knowledge’s AI Readiness Assessment considers your organization’s business and technical ecosystem, and identifies specific priority and gap areas to help you make
targeted investments and gain tangible value from your data and information. Continue reading
From Taxonomy to Ontology
As interest in designing personalized user experiences, recommendation engines, knowledge graphs, and the broader implementation of the semantic web grows, the need for the creation and implementation of ontologies becomes more critical. At Enterprise Knowledge, we define an ontology as … Continue reading
What is a Semantic Architecture and How do I Build One?
Can you access the bulk of your organization’s data through simple search or navigation using common business terms? If so, your organization may be one of the few that is reaping the benefits of a semantic data layer. A semantic … 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