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#KnowledgeGraphs

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In our last #ISE2025 lecture last week, we were discussing what makes a node "important" in a knowledge graph. A simple heuristics can be borrowed from graph theory or communication theory: Degree Centrality

Interestingly, in Wikidata In-degree centrality states Jane Austen to be to most "important" female author, while Out-degree centrality claims J.K. Rowling as being more "important" ;-)

#knowledgegraphs #semanticweb #graphtheory #feminism #eyeofthebeholder @sourisnumerique @enorouzi

Yuqicheng Zhu (@yuqichengzhu.bsky.social) presented our paper, Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings, at #ACL2025. This paper studies a key question for the reliability of applications using knowledge graph embeddings: How to quantify the uncertainty? We show that not all data have the same uncertainty and propose a method to have stronger guarantees by grouping similar data.

arxiv.org/abs/2505.16877

You are an expert in ontologies and knowledge graphs? You have an interest (or even better expertise) in materials science engineering? Then you should apply! Open PostDoc/Senior Researcher position at FIZ Karlsruhe ISE Research Team in the Knowledge Graph department. More info at fiz-karlsruhe.de/en/stellenanz

#joboffer #ontologies #bfo #bfo2020 #pmd #materialsscience #knowledgegraphs #jobad #ontologyengineering #semanticweb #modeling @fizise #materialdigital #nfdimatwerk @fiz_karlsruhe

Is complex query answering really complex? A paper at the International Conference on Machine Learning (#ICML2025) presented by Cosimo Gregucci, PhD student at @UniStuttgartAI @Uni_Stuttgart, discussed this question.

In this paper, Cosimo Gregucci, Bo Xiong, Daniel Hernández (@daniel), Lorenzo Loconte, Pasquale Minervini (@pminervini), Steffen Staab, and Antonio Vergari (@nolovedeeplearning) reveal that the “good” performance of SoTA approaches predominantly comes from answers that can be boiled down to single link prediction. Current neural and hybrid solvers can exploit (different) forms of triple memorization to make complex queries much easier. The authors confirm this by reporting the performance of these methods in a stratified analysis and by proposing a hybrid solver, CQD-Hybrid, which, while being a simple extension of an old method like CQD, can be very competitive against other SoTA models.

The paper proposed a way to make query answering benchmarks more challenging in order to advance science.

arxiv.org/abs/2410.12537

What does it take to maintain one of the world's largest repositories of free, structured knowledge?

Read this interview about the challenges Wikidata faces and how the team handles massive scale and constant updates, all while remaining open source:
bigdatawire.com/2025/07/10/sca #OpenData #KnowledgeGraphs #BigData #SemanticWeb

BigDATAwire · Scaling the Knowledge Graph Behind WikipediaAs the fifth most popular website on the Internet, keeping Wikipedia running smoothly is no small feat. The free encyclopedia hosts more than 65 million

Our colleague @tabea is presenting our joint work at DigitalHumanities 2025 in Lisbon, Portugal, with Linnea Söhn, J. Steller, P. Kehrein, A. Büttner, @epoz, @sashabruns J. Grünewälder, J. Hörnschemeyer, C. Sander, V. Grund, @heikef @lysander07 & T. Schrade: NFDI4Culture Integration Stories: Bridging Gaps Between Isolated Research Resources

@nfdi4culture #NFDIrocks @NFDI4DS @NFDI4Memory #NFDIMatWerk #ontologies #knowledgegraphs #researchdatamanagement #researchdata @fiz_karlsruhe #dh2025