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Ontology-driven vibe coding
Ontology-driven vibe coding
Ontology-driven vibe coding Build a reliable app in a matter of minutes in just five steps: 1. Define concepts 2. Define relationships 3. Connect concepts through relationships 4. Define attributes 5. Connect attributes to concepts Then click on 'go to app -' and you are ready to go! What does Hapsah.org provide: - Business glossary with terms and definitions - Conceptual modelling environment - Business rule authoring tool - App running environment - Admin environment - APIs for operational data access (for data manipulation) - APIs for meta data access (glossary, conceptual model and business rules) Making changes or additions to your app is just as easy. You never run into debugging issues. There is no spaghetti codebase that is created and managed under the hood. So no debugging hell, just a smoothly running app. #vibecoding #nocode #ontology #semantic #app #development #businessrules | 18 comments on LinkedIn
Ontology-driven vibe coding
·linkedin.com·
Ontology-driven vibe coding
Where Derivations Live: ORM vs. OWL | LinkedIn
Where Derivations Live: ORM vs. OWL | LinkedIn
Every knowledge system has to wrestle with a deceptively simple question: what do we assert, and what do we derive? That line between assertion and derivation is where Object-Role Modeling (ORM) and the Resource Description Framework (RDF) with the Web Ontology Language (OWL) go in radically differe
·linkedin.com·
Where Derivations Live: ORM vs. OWL | LinkedIn
The Great Divide: Why Ontology and Data Architecture Teams Are Solving the Same Problems with Different Languages | LinkedIn
The Great Divide: Why Ontology and Data Architecture Teams Are Solving the Same Problems with Different Languages | LinkedIn
In enterprise organisations today, two important disciplines are working in parallel universes, tackling nearly identical challenges whilst speaking completely different languages. Ontology architects and data architects are both wrestling with ETL processes, data modelling, transformations, referen
·linkedin.com·
The Great Divide: Why Ontology and Data Architecture Teams Are Solving the Same Problems with Different Languages | LinkedIn