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 | Dec 31, 2024 | Data Interoperability, Semantic Interoperability, Semantic Web
The Power of Semantic Interoperability Picture this: Pit, a passionate baker, dreams of opening his own bakery in Luxembourg. Full of excitement, he begins the process but quickly encounters a frustrating reality. Anna, the officer handling his business registration,...
by Daniel | Dec 30, 2024 | Data Specifications, Reuse, Semantic Interoperability, Semantic Web
The term “reuse” appears very often in the Semantic Web literature, encouraging the adoption of existing data specifications into new ones rather than redefining the same/similar concepts once again. But the word “reuse” has different meanings...
by Daniel | Dec 11, 2024 | Data Specifications, Semantic Interoperability, Semantic Web
Semantic Data Specifications must serve the requirements of business experts and technical developers while ensuring all representations remain consistent and clear for accurate machine interpretation. Two foundational concepts address these challenges: the separation...
by Daniel | Nov 11, 2024 | Data Interoperability, Semantic Data Specifications, Semantic Interoperability, Semantic Web
What Are Semantic Data Specifications (SDS)? Semantic engineers must interpret, exchange, and work with data consistently, regardless of the system architecture or intended application. This consistency is achieved through Semantic Data Specifications (SDS), also...
by Daniel | Sep 30, 2024 | Data Interoperability, Semantic Interoperability, Semantic Technology, Semantic Web
Semantic Technology is all about understanding and managing the relationships between pieces of data. It’s a simple concept of linking data based on meaning, not just structure. This approach helps organizations make sense of data more effectively and efficiently....
