{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T06:13:28Z","timestamp":1788156808584,"version":"build-2803163510"},"reference-count":27,"publisher":"Walter de Gruyter GmbH","issue":"4","license":[{"start":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T00:00:00Z","timestamp":1786924800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,8,31]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Maintaining scientific databases that depend on continuous curation of research literature often requires labor-intensive, slow, and error-prone annotation processes. To address these challenges, we present a pipeline that integrates text mining with expert supervision to support database expansion. Using the BRENDA enzyme database as a case study, we compiled a relation extraction dataset by aligning document-level annotations with literature references through distant supervision. We then developed a neural model that performs entity recognition and relation classification, enabling the extraction of enzyme-strain associations from full-text articles. To close the loop between machine learning and expert curation, we designed a web-based interface that allows annotators to review and refine predicted relations. While preliminary, our initial experiments show the potential of combining weak supervision and human-in-the-loop validation to accelerate the integration of literature-derived information into knowledge bases.<\/jats:p>","DOI":"10.1515\/jib-2025-0058","type":"journal-article","created":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T08:56:15Z","timestamp":1786956975000},"source":"Crossref","is-referenced-by-count":1,"title":["The DSMZ Digital Diversity Annotation Hub: a pipeline for\u00a0database expansion via text mining and\u00a0human curation"],"prefix":"10.1515","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0002-3635","authenticated-orcid":false,"given":"Emanuel","family":"Quadros","sequence":"first","affiliation":[{"name":"Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures , Braunschweig , Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7805-0660","authenticated-orcid":false,"given":"Lorenz C.","family":"Reimer","sequence":"additional","affiliation":[{"name":"Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures , Braunschweig , Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7260-2129","authenticated-orcid":false,"given":"Julia","family":"Koblitz","sequence":"additional","affiliation":[{"name":"Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures , Braunschweig , Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2026,8,17]]},"reference":[{"key":"2026083018583343389_j_jib-2025-0058_ref_001","doi-asserted-by":"crossref","unstructured":"Chang, A, Jeske, L, Ulbrich, S, Hofmann, J, Koblitz, J, Schomburg, I, et al.. 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