Matthias S.

Ah! Then in my humble opinion, you are on the right path 🙂 I think I understand your struggle with the visualisation. You might want to make sure you understand what are the triples really present in my triplesotre (often it is more than simply the ones you inputed) and what are the triples I really want to show. Then build the corresponding SPARQL queries to finetune your visualisation. If you have a sample data, I can try carving out some time to test some vis (I can not promess I will have the time though 😉 )

Hi Sayli S., Quite a hot topic these days ! 🙂 Let me share below some projects I know :

I hope it helps. Happy to discuss 🙂

Hi Robert, A few clarification before so you can make sure RDF is the right fit for your need:

Usually when modelling with RDF people tend to think that what they have defined in RDF as an RDFS or OWL class is an entity and therefore should appear as a node in the visual graph. However, what you really do in this cas is inserting the triple (myThing rdf:type rdfs:Class). And if I remember well the graph visualizer from OntoText by default shows the raw rdf triples. It also often happened that some basic RDF triples are preloaded when creating a triplestore (e.g., OWL or RDFS triples). Hence, the default graph vis will show them. With this lengthy response I hope to clarify that if your only goal is to visualise your data as a graph, RDF might be a complex choice. That being said, OntoText graph vis lets you define the SPARQL queries to execute for each "click" action on do when manipulating the graph vis. I am telling you all this from my little previous experience with OntoText and my understanding. I hope it helps and I am very happy to discuss. Good luck 🙂

Sorry, I have recently changed job and I do not have this time slot available that often anymore ... I hope to join you sometime soon. Have fun 🙂

With my colleague Marion S. we do. we first implemented OLAF, our python ontology learning framework: https://gitlab.insa-rouen.fr/msesboue/ontology-learning We now have an LLM component for each task and are testing using them compared to more traditional appraoches. Another slictly different but interesting project is LLMs4OL: https://github.com/HamedBabaei/LLMs4OL Happy to discuss if you have any thoughts 🙂