Apply suggestion from @matentzn

Author: matentzn

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

@@ -219,7 +219,7 @@ Several research papers previously featured in the OBO Newsletter as preprints h
 
 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.
+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.
 
 SPIRES (Structured Prompt Interrogation and Recursive Extraction of Semantics), featured in[ issue 4](https://obofoundry.org/newsletter/2024/03/18/4th-issue-newsletter.html), accepted for publication in Bioinformatics  ([https://doi.org/10.1093/bioinformatics/btae104](https://doi.org/10.1093/bioinformatics/btae104)). The paper presents a method that uses zero-shot learning and structured prompting to extract and organize semantic information for automatically populating knowledge bases.