Skip to main content
Log in

Ontology-based construction knowledge retrieval system

  • Information Technology
  • Published:
KSCE Journal of Civil Engineering Aims and scope

Abstract

Managing knowledge effectively is critical to the competitive power of a company. Knowledge is used as an important resource in many industrial areas, and so it follows that there is a growing interest in knowledge management within the construction industry. Yet because of the unique characteristics of construction knowledge created during projects, there are limitations to its capture and reuse. The knowledge produced during construction projects is project-oriented, experiential, and context specific; due to these characteristics, the reuse of knowledge is difficult. In this research, research team focus on capturing and identifying the characteristics of construction knowledge, then propose a method for applying these characteristics to the development of an ontology-based construction knowledge retrieval system. Moreover, research team developed a system prototype that applies ontology in suggesting related search words during the search process and validated the effectiveness of the prototype in terms of precision and recall rate. By applying the prototype, the precision and recall rate was improved by approximately 10∼30%.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Aouad, G., Brandon, P., Brown, F., Cooper, G., Ford, S., Kirkham, J., Oxman, R., Sarshar, M., and Young, B. (1994). Integration of Construction Information (ICON), Final Report, University of Salford, UK.

    Google Scholar 

  • Baeza-Yates and Ribeiro-Neto (1999). Modern information retrieval, ACM, pp. 25–27.

    Google Scholar 

  • Carrillo, P. and Chinowsky, P. (2006). “Exploiting knowledge management: The engineering and construction perspective.” Journal of Management in Engineering, ASCE, Vol. 22, No. 1, pp. 2–10.

    Article  Google Scholar 

  • Davies, J., Fensel, D., and Harmelen, F. V. (2003). Towards the semantic web: Ontology-driven knowledge management, Wiley, p. 157.

    Google Scholar 

  • E-COGNOS project (Consistent knowledge management across projects and between enterpriSes in the construction domain) (2005). IST-2000-28671〈http://www.e-cognos.org〉.

  • El-Diraby, T. A. and Kashif, K. F. (2005). “Distributed ontology architecture for knowledge management in highway construction.” Journal of Construction Engineering and Management, ASCE, Vol. 131, No. 5, pp. 591–603.

    Article  Google Scholar 

  • El-Diraby, T. A., Lima, C., and Feis, B. (2005). “Domain taxonomy for construction concepts: Toward a formal ontology for construction knowledge.” Journal of Computing in Civil Engineering, ASCE, Vol. 19, No. 4, pp. 394–406.

    Article  Google Scholar 

  • European Union (2001). Common Procurement Vocabulary (CPV), Regulation (EC) No 2195/2002 of the European Parliament and of the Council of 5 November 2002 on the Common Procurement Vocabulary (CPV).

    Google Scholar 

  • Fong, P. S. W. (2005). “Aspects of learning and knowledge in construction projects.” Construction Research Congress 2005, ASCE.

    Google Scholar 

  • Froese, T. (1996). “Models of construction process information.” Journal of Computing in Civil Engineering, ASCE, Vol. 10, No. 3, pp. 183–193.

    Article  Google Scholar 

  • Gruber, T. R (1993). “A Translation approach to portable ontology specifications.” An International Journal of Knowledge Acquisition for knowledge-Based Systems, Vol. 5, No. 2, pp. 199–220.

    Article  Google Scholar 

  • Guarino, N. and Welty, C. (2000). “Towards a methodology for ontologybased model engineering.” Proc., IWME-2000-International Workshop on Model Engineering, Sophia Antipolis and Cannes, France.

    Google Scholar 

  • Holscher, C. and Strube, G. (2000): “Web search behavior of internet experts and newbies.” Computer Networks: The International Journal of Computer and Telecommunications Networking, Vol. 33, Nos. 1–6, pp. 337–346.

    Article  Google Scholar 

  • iProspect (2006). Search engine user behavior study, iProspect 〈http://www.iprospect.com/〉, p. 12.

    Google Scholar 

  • Karhu, V. (2001). “A view based approach for construction process modeling.” Journal of Computer-Aided Civil and Infrastructure Engineering, Vol. 18, No. 4, pp. 275–285.

    Article  Google Scholar 

  • Kivrak, S., Arslan, G., Dikmen, I., and Birgonul, M. T. (2008). “Capturing knowledge in construction projects: Knowledge platform for contractors.” Journal of Management in Engineering, ASCE, Vol. 24, No. 2, pp. 87–95.

    Article  Google Scholar 

  • Korean Ministry of Land, Transport and Maritime Affairs (MLTM) (2006). Standard construction specification, Kimoondang.

    Google Scholar 

  • Lee, K. (2010). Ontology-based construction knowledge retrieval system, MSc Thesis, Seoul National University, Seoul, Korea.

    Google Scholar 

  • Luiten, G. (1994). Computer aided design for construction in the building industry, PhD Thesis, Delft University of Technology.

    Google Scholar 

  • Manning, C. D., Raghavan, P., and Schütze, H. (2008). Introduction to information retrieval, Cambridge University Press.

    Book  MATH  Google Scholar 

  • Noy, N. and Hafner, C. (1997). The state of the art in ontology design: A survey and comparative review, Al Magazine, Vol. 18, No. 3, pp. 53–74.

    Google Scholar 

  • OCCS Development Committee (2006). Omniclass 〈http://www.omniclass.org〉.

    Google Scholar 

  • Spink, A., Wolfram, D., Jansen, B. J., and Saracevic, T. (2001). “Searching the web: The public and their queries.” Journal of the American Society for Information Science, Vol. 53, No. 2, pp. 226–234.

    Google Scholar 

  • Tan, H. C. (2007). “Development of a methodology for live capture and reuse of project knowledge in construction.” Journal of Management in Engineering, ASCE, Vol. 23, No. 1, pp. 18–26.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Moonseo Park.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Park, M., Lee, Kw., Lee, Hs. et al. Ontology-based construction knowledge retrieval system. KSCE J Civ Eng 17, 1654–1663 (2013). https://doi.org/10.1007/s12205-013-1155-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12205-013-1155-6

Keywords

Navigation