Automatic translation of technical standards into a semantic model
study applied to the Performance Standard
DOI:
https://doi.org/10.46421/entac.v20i1.5906Keywords:
Natural Language Processing, Performance Standard, Semantic Representation Model, Linguistic patterns, XMLAbstract
Technical standards are prepared in natural language (NL), require manual analysis, are prone to errors, and require high training for programming requirements on platforms dedicated to automated conformity assessment. The optimized inquiry and interpretation of technical standards must be improved and compatible with the digitization underway in architecture, engineering, and construction. Thus, this article describes a rule-based information extraction method for the automatic translation of technical construction standards, having applied the Performance Standard (NBR 15.575). The solution is classified in the area of Natural Language Processing of Artificial Intelligence. The result is an algorithm based on information extraction rules that generates a semantic model representing the ND requirements. The algorithm is composed of several Natural Language Processing techniques based on Portuguese linguistic patterns. The semantic model of Part 1 of the ND was generated, expressed in a formal language, semi-structured in Extensible Markup Language, which can be consulted in an optimized way or processed in applications related to compliance verification.
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