Applying Organizational Semiotics for Developing Knowledge-Based Cost Estimation of Construction Project - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2015

Applying Organizational Semiotics for Developing Knowledge-Based Cost Estimation of Construction Project

Shen Xu
  • Fonction : Auteur
  • PersonId : 982972
Kecheng Liu
  • Fonction : Auteur
  • PersonId : 982965
Llewellyn Cm Tang
  • Fonction : Auteur
  • PersonId : 982973

Résumé

Cost estimation is a dynamic and knowledge intensive process. Current practice of construction cost estimation is a process with fragmented knowledge. In order to have an integrated process, semantic should be modelled in respect to pragmatic. The investigation of BIM-based cost estimation confirmed that IFC can provide construction project semantics but incapable of relating domain semantics and pragmatics. In order to overcome this gap, we adopt organizational semiotics to fully reveal semantic units of cost estimation from a process perspective. Pilot study confirms feasibility of this approach. Future research will be a case study to collect all the instances for semantic units. Then semantic consistency and pragmatic implementation should be realized by the applications. This research highlights the importance of alignment between semantic (domain ontology) and pragmatic (meaning in use), it contributes also to identify a new approach of knowledge engineering for construction professional services under BIM environment.
Fichier principal
Vignette du fichier
978-3-319-16274-4_9_Chapter.pdf (550.98 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01324966 , version 1 (01-06-2016)

Licence

Identifiants

Citer

Shen Xu, Kecheng Liu, Llewellyn Cm Tang. Applying Organizational Semiotics for Developing Knowledge-Based Cost Estimation of Construction Project. 16th International Conference on Informatics and Semiotics in Organisations (ICISO), Mar 2015, Toulouse, France. pp.80-91, ⟨10.1007/978-3-319-16274-4_9⟩. ⟨hal-01324966⟩
85 Consultations
189 Téléchargements

Altmetric

Partager

More