Open Science Research Excellence
@article{(International Science Index):,
  title    = {Towards an Intelligent Ontology Construction Cost Estimation System: Using BIM and New Rules of Measurement Techniques},
  author    = {F. H. Abanda and  B. Kamsu-Foguem and  J. H. M. Tah},
  country   = {United Kingdom},
  institution={Oxford Brookes University},
  abstract  = {Construction cost estimation is one of the most
important aspects of construction project design. For generations, the
process of cost estimating has been manual, time-consuming and
error-prone. This has partly led to most cost estimates to be unclear
and riddled with inaccuracies that at times lead to over- or underestimation
of construction cost. The development of standard set of
measurement rules that are understandable by all those involved in a
construction project, have not totally solved the challenges. Emerging
Building Information Modelling (BIM) technologies can exploit
standard measurement methods to automate cost estimation process
and improve accuracies. This requires standard measurement
methods to be structured in ontological and machine readable format;
so that BIM software packages can easily read them. Most standard
measurement methods are still text-based in textbooks and require
manual editing into tables or Spreadsheet during cost estimation. The
aim of this study is to explore the development of an ontology based
on New Rules of Measurement (NRM) commonly used in the UK for
cost estimation. The methodology adopted is Methontology, one of
the most widely used ontology engineering methodologies. The
challenges in this exploratory study are also reported and
recommendations for future studies proposed.
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {9},
  number    = {1},
  year      = {2015},
  pages     = {294 - 299},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 97, 2015},