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Semantic Frame-Based Information Extraction from Utility Regulatory Documents to Support Compliance Checking

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Advances in Informatics and Computing in Civil and Construction Engineering

Abstract

Computer-aided compliance checking is always a challenge in the Architecture, Engineering, and Construction (AEC) domain. In recent years, semantic compliance checking has gained a lot of attention. As the critical ingredient of the checking system, rule information needs to be extracted from regulatory texts and be formalized into machine-readable format. This paper proposed a semantic frame-based information extraction method with a focus on domain semantics and lexical semantics. The extraction process is characterized by the enrichment of lexical semantic frames and the mapping with the domain semantic framework. Natural language processing (NLP) and machine learning (ML) techniques were used to implement the extraction mechanism. The preliminary experiment shows a promising performance when extracting rule information from Indian Utility Accommodation Policy.

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Author information

Authors and Affiliations

  1. Purdue University, West Lafayette, IN, 47907, USA

    Xin Xu & Hubo Cai

Authors
  1. Xin Xu
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  2. Hubo Cai
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Corresponding author

Correspondence to Hubo Cai .

Editor information

Editors and Affiliations

  1. CAEE, Illinois Institute of Technology, Chicago, IL, USA

    Ivan Mutis

  2. Institute of Civil Engineering, TU Berlin, Berlin, Germany

    Timo Hartmann

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Xu, X., Cai, H. (2019). Semantic Frame-Based Information Extraction from Utility Regulatory Documents to Support Compliance Checking. In: Mutis, I., Hartmann, T. (eds) Advances in Informatics and Computing in Civil and Construction Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-00220-6_27

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  • DOI: https://doi.org/10.1007/978-3-030-00220-6_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00219-0

  • Online ISBN: 978-3-030-00220-6

  • eBook Packages: EngineeringEngineering (R0)

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