Supporting appraisal cost estimation by linked data

The construction industry faces growing risks of execution defects and rising costs. A balance between quality costs requires knowledge quality-related Despite increasing amounts data, models predicting appraisal remain missing. This paper aims to determine expected from BIM objects using semantic web technologies the ontology for assurance. are determined automatically via SHACL rules stored in OCQA extension To demonstrate rules, uses levelling methods associated defect-type unevenness as examples.