Update _posts/2025-10-22-9th-issue-newsletter.md

Co-authored-by: Nico Matentzoglu <nicolas.matentzoglu@gmail.com>

Author: LK112019

_posts/2025-10-22-9th-issue-newsletter.md

@@ -217,7 +217,7 @@ Figure from Christopher J. Mungall, Adnan Malik, Daniel R. Korn, Justin T. Reese
 
 Several research papers previously featured in the OBO Newsletter as preprints have now been published in journals.
 
-SeMRA (Semantic Mapping Reasoning and Assembly), “Assembly and reasoning over semantic mappings at scale for biomedical data integration”, featured in[ issue 8](https://obofoundry.org/newsletter/2025/06/16/8th-issue-newsletter.html) has been accepted for publication in Bioinformatics ([DOI: 10.1093/bioinformatics/btaf542](https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btaf542/8267995?searchresult=1)). The paper presents a framework for assembling, validating, and reasoning over large-scale semantic mappings to improve interoperability across biomedical datasets.
+SeMRA (Semantic Mapping Reasoning and Assembly), “Assembly and reasoning over semantic mappings at scale for biomedical data integration”, featured in [issue 8](https://obofoundry.org/newsletter/2025/06/16/8th-issue-newsletter.html) has been accepted for publication in Bioinformatics ([DOI: 10.1093/bioinformatics/btaf542](https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/btaf542/8267995?searchresult=1)). The paper presents a framework for assembling, validating, and reasoning over large-scale semantic mappings to improve interoperability across biomedical datasets.
 
 DRAGON-AI (Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence), featured in[ issue 4](https://obofoundry.org/newsletter/2024/03/18/4th-issue-newsletter.html), now published in Journal of Biomedical Semantics ([DOI: 10.1186/s13326-024-00320-3](https://jbiomedsem.biomedcentral.com/articles/10.1186/s13326-024-00320-3)). The paper describes a framework that applies retrieval-augmented generation methods to support the automated creation and refinement of ontologies, integrating AI techniques with ontology engineering workflows.