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 … 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 … Continue reading
Why am I Mr. SPARQL?
Over the past few years, I have gained a lot of experience working with graph databases, RDF, and SPARQL.¹ SPARQL can be tricky for both new and experienced users as it is not always obvious why a query is returning unexpected … Continue reading
RDF*: What is it and Why do I Need it?
RDF* (pronounced RDF star) is an extension to the Resource Description Framework (RDF) that enables RDF graphs to more intuitively represent complex interactions and attributes through the implementation of embedded triples. This allows graphs to capture relationships between more than … Continue reading
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
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