Determinants of data quality dimensions for assessing highway infrastructure data using semiotic framework

HIGHLIGHTS

• who: Chenchu Murali Krishna and colleagues from the Department of Civil Engineering, Indian Institute of Technology Delhi, Delhi, India School of Architecture, Building and Civil Engineering, Loughborough University, Epinal Way have published the paper: Determinants of Data Quality Dimensions for Assessing Highway Infrastructure Data Using Semiotic Framework, in the Journal: Buildings 2023, 13, 944. of /2023/
• what: This research proposes a semiotic-based framework for comprehending highway infrastructure data quality, consisting of four levels: syntactic (form), empiric (connection), semantic (meaning), and pragmatic (use) .
• how: Data are collected with varying degrees of precision and . . .
  

   

  

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