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http://purl.obolibrary.org/obo/RO_0002233
http://semanticscience.org/resource/SIO_000081
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This workflow takes as input a set of binding land-use plan metadata and applies text mining / pattern recognition tools (within Galaxy) to scan for a predefined list of sustainability‐related keywords (e.g. GFZ, GRZ, BauNVO, etc). When a keyword is found, the workflow attempts to capture an associated value (numeric, percentage, descriptor) if present in proximity to the keyword. The resulting structured table allows downstream analysis of how many building plans contain each metric keyword, what the reported values are, and comparisons across plans/projects. This enables automation of otherwise manual review of building plan sustainability metrics, facilitating large‐scale benchmarking, reporting, or auditing.
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http://www.w3.org/2000/01/rdf-schema#label
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2026-05-21T08:29:28Z
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RSA
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