by meaningfy | Aug 29, 2025 | Enterprise Knowledge Graphs, Semantic Technology
Computing the difference between any two schemas is a recognised need among data modellers, and a well-known problem to solve in the knowledge graph space, especially so when looking beyond trivial plain-text line diffs. That is: modellers, taxonomists, and...
by Daniel | Jul 1, 2025 | Data Modeling, Linked Data, Semantic Web
OWL vs. SHACL: A Practical Guide to Semantic Modeling and Data Validation As semantic technologies become essential for data standardization and exchange, knowing what to put in OWL (Web Ontology Language) and SHACL (Shapes Constraint Language) is critical. Here’s a...
by Daniel | Jun 13, 2025 | Data Interoperability, Semantic Technology
Improving Complex Data Modelling by Going from XML to RDF Many may wonder, why would anyone want to convert XML data to RDF graphs? The short answer is semantics. Yes, XML provides structure for the data. However, this is a tree structure, with the information...
by Daniel | Apr 7, 2025 | Data Management, Semantic Interoperability, Semantic Technology
How FAIR Principles and Ontologies Help Us Get More Value from Our Data Simply collecting data isn’t enough. To truly unlock its value, data must be findable, accessible, interoperable, and reusable. In other words, FAIR. But even when data is FAIR, the way we...
by Daniel | Mar 1, 2025 | Data Interoperability, Enterprise Knowledge Graphs, Semantic Technology
From Fragmented Data to Unified Insights with Enterprise Knowledge Graphs Organisations have oceans of data, but most remains siloed, fragmented, and underutilized. Enterprise Knowledge Graphs are a practical, scalable solution for unifying data into a single,...
