Automation of Text Annotation for Compliance Checking Based on Descriptive Logic: An Example from the Russian Building Code

Regulatory requirements are currently presented as a rule in a semistructured format in human-readable documents, making the compliance checking of information models possible only manually. The first step toward automating compliance checking is the annotation of semantic components and domain-specific terms in the text of the requirements. However, such annotation requires significant time and deep semantic expertise from the user. The present study focuses on automating the annotation of regulatory requirements to simplify their translation into Web Ontology Language, thereby enabling subsequent automated compliance checking. We propose methods for automating annotation across three levels of the annotation scheme. These are domain-specific terms, semantic types, and semantic roles. The proposed approach demonstrates promising results: Recall@10 of 64.8%, microaveraged F1-score of 79.7%, and Adjusted Mutual Information of 81.88%.