Document and query expansion for information retrieval on building regulations

Ruben Kruiper*, Ioannis Konstas, Alasdair J.G. Gray, Farhad Sadeghineko, Richard Watson, Bimal Kumar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Regulations and test criteria for building products are captured in hundreds of interrelated documents. It can be daunting to figure out which of these documents contain information that is relevant to your building project or product. In this paper, we describe work on an Information Retrieval (IR) system that aims to search through the contents of building regulations. Based on practitioner interviews we develop a small dataset of user-queries for which we would like to return relevant passages of documents. We explore several approaches to Query Expansion (QE) and Document Expansion (DE), taking into account the scarcity of openly available knowledge sources in our small technical domain. We show that IR performance can be greatly improved using QE and DE, and retrieve a top-3 relevant result for up to 85% of out queries. We share our IR dataset and the code to replicate our approach.
Original languageEnglish
Title of host publicationProceedings of the 30th EG-ICE: International Conference on Intelligent Computing in Engineering
PublisherUCL Press
Number of pages12
Publication statusPublished - 2023
Externally publishedYes
Event30th EG-ICE: International Conference on Intelligent Computing in Engineering - University College London, London, United Kingdom
Duration: 4 Jul 20237 Jul 2023
https://www.ucl.ac.uk/bartlett/construction/research/virtual-research-centres/institute-digital-innovation-built-environment/30th-eg-ice (Link to conference website)

Conference

Conference30th EG-ICE: International Conference on Intelligent Computing in Engineering
Country/TerritoryUnited Kingdom
CityLondon
Period4/07/237/07/23
Internet address

Keywords

  • Information Retrieval
  • Building Regulations
  • Query Expansion
  • Document Expansion

Fingerprint

Dive into the research topics of 'Document and query expansion for information retrieval on building regulations'. Together they form a unique fingerprint.

Cite this