Two intense days at the NFDI-MatWerk All-hands-on-Deck meeting in Siegburg! Huge kudos to the organising team for making it so fruitful. Loved connecting with the MatWerk community, reflecting on Phase 1 achievements and getting excited for Phase 2. Big shoutout to the @fizise team: @enorouzi @heikef Hossein Beygi Nasrabadi and Alsayed Algergawy!

@fiz_karlsruhe #NFDI @nfdi4culture @NFDI4DS #materialsscience #AI #ontologies #knowledgegraphs #semanticweb #researchdata

Yesterday, our colleague @enorouzi won the "Best Demo" award at the NFDI-MatWerk All-hands-on-Deck meeting in Siegburg with his presentation of the MSE Knowledge Graph. Congratuzlations πŸŽ‰

MSE-KG Webpage: https://nfdi.fiz-karlsruhe.de/matwerk/

#knowledgegraphs #ontologies #AI #materialsscience @NFDI @nfdi4culture @NFDI4Memory @NFDI4DS @fiz_karlsruhe @lysander07 @heikef #Siegburg

Today, at the NFDI-MatWerk AHoD Meeting in Siegburg: @enorouzi is giving a demo on out MSE-KG, the knowledge graph-based infrastructure for research data of the consortium.

The MatWerk KG: https://nfdi.fiz-karlsruhe.de/matwerk/

#ontologies #knowledgegraph @NFDI #NFDIMatWerk #researchdata #NFDIrocks #Siegburg #materialsscience @fiz_karlsruhe @nfdi4culture @NFDI4DS

On my way to Siegburg to the #NFDIMatWerk All-hands-on-deck meeting 2026. Hossein Beygi Nasrabadi, @enorouzi and @heikef from our @fizise research group will present results regarding the MatWerk ontology, the MatWerk Knowledge Graph and our curation Infrastructure

@fiz_karlsruhe @joerg #KnowledgeGraphs #ontologies #materialscience #nfdi @NFDI #rdm #infrastructure #ai

The OntoWeaver team is proud to release version 1.4 of its tool πŸ₯³

OntoWeaver allows to easily parse iterable data (like tables or documents) and create a Semantic Knowledge Graph. Basically, you write a simple YAML file telling what data you want to be a node or a property, you call a generic command, and πŸŽ‰ , you have your graph ready.

With the 1.4 series, the main new feature is an option to display progress bars when doing heavy processing (like loading large CSV files).

The documentation has also been heavily updated, completed and polished:
https://ontoweaver.readthedocs.io/en/latest

#python #SKG #KG #graph #neo4j #ontoweaver #biocypher #science #bioinformatics #pasteur #ontologies #semanticWeb

Overview β€” OntoWeaver 1.4 documentation

πŸš€ PMD core ontology (PMDco) v3.0.0 Release

This release marks a major milestone for the #PMD working area Semantic Interoperability and reflects several years of joint conceptual work, implementation, discussion, and validation across projects and disciplines.

GitHub: https://github.com/materialdigital/core-ontology
PMDco 3.0.0: https://materialdigital.github.io/core-ontology/index-en.html#
Docs: https://materialdigital.github.io/core-ontology/docs/

#ontologies #materialsscience #materialdigital #AI #symbolicAI #knowledgerepresentation @fiz_karlsruhe @joerg @enorouzi @lysander07

We’re looking for a Research Knowledge Engineer (m/f/x) (full time, 3,5 years). If you have a #DigitalHumanities profile with experience in #Ontologies, #KnowledgeGraphs and #LinkedOpenData, then we’re looking for you! Boosts welcome.
https://jobs.ruhr-uni-bochum.de/jobposting/3244439f127e53c0cf64af2c554a1a1d608f09531
4/4
Research Knowledge Engineer (m/f/x)

The OntoWeaver team is proud to release version 1.3 of its tool πŸ₯³

OntoWeaver allows to easily parse iterable data (like tables or documents) and create a Semantic Knowledge Graph. Basically, you write a simple YAML file telling what data you want to be a node or a property, you call a generic command, and πŸŽ‰ , you have your graph ready.

We've been using OntoWeaver on a few real use-cases, I think it's now in a pretty good state, and ready for you to use. We recently put a lot of attention on the documentation, with tutorials and a primer about KG for newcomers: https://ontoweaver.readthedocs.io/en/latest

With the 1.3 series, the main new features are:
* `ontoweave` can now load multiple compatible data files at once, for the same mapping, with a classical "shell glob". E.G. `ontoweave data/*.parquet:mapping.yaml`
* OntoWeaver now has the ability to automatically create or extend a BioCypher schema from the mapping (useful if you don't want to type a large but straightforward set of types!).

Get the code at: https://github.com/oncodash/ontoweaver or using `pip`: https://pypi.org/project/ontoweaver/

#python #SKG #graph #ontoweaver #biocypher #science #bioinformatics #pasteur #ontologies #semanticWeb

Overview β€” OntoWeaver 1.4 documentation

If you have ever used - or wished to use - #ontologies or other #FAIRdata teminologies to represent #errors, #uncertainty or #doubt, please get in touch, as I'd like to get a bit more systematic about doing these things as well, particularly in the context of #nanopublications .

#openresearch

We are happy to announce the release of the 1.2 version of OntoWeaver, the tool that sits on top of BioCypher and allows to easily make independent adapters parsing structure data, from just a simple declaration of a mapping: https://github.com/oncodash/ontoweaver/releases/tag/v1.2.0

The main new feature is adapters for structured documents: OWL (ontology files' populated graph), XML and JSON documents, and some new high-level information fusion functions.

The package is available on PyPI, now in the BioCypher community: https://pypi.org/project/ontoweaver/1.2.0/

#ontoweaver #biocypher #knowledgeGraphs #ontologies #semantic #biomedicine #science #freesoftware #python

Release v1.2.0 Β· oncodash/ontoweaver

What's Changed Adds a boolean transformer Adds new adapters: OWL, for loading populated ontology files. Adds new adapters: XML and JSON, to loaded structured data documents, using queries. Now sho...

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