Collaborative project information management in a semantic web environment

Author:

Anumba C.J.,Pan J.,Issa R.R.A.,Mutis I.

Abstract

PurposeThe advent of web services and the semantic web have opened up opportunities for a new generation of interoperable systems on the web. The purpose of this paper is to show the importance of semantics in design and construction, and how this has long been recognised and addressed to varying extents by researchers.Design/methodology/approachThere is now the potential for designs to be developed through a system of collaborating design services and for input by the construction team members. The potential also extends to the construction phase where the designers can provide more timely responses to problems encountered in the field. Within this environment, there is the need for effective mechanisms for design and construction information management, in addition to an ontology that facilitates the sharing of design and construction information and the underlying semantics. This paper explores these trends in collaborative design and construction, and presents an ontology‐based approach to project information management in a semantic web environment.FindingsThe findings include a framework for semantic web‐based information management (SWIMS), which provides for effective collaborative information management. Examples, based on design and construction information, are presented to illustrate the key concepts.Originality/valueThis paper presents an innovative approach to overcoming the limitations of conventional information management approaches in construction. The proposed approach is expected to enhance collaboration, and avoid information loss, overload and misunderstanding,

Publisher

Emerald

Subject

General Business, Management and Accounting,Building and Construction,Architecture,Civil and Structural Engineering

Reference39 articles.

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4. Berners‐Lee, T. (2002), The Semantic Web, available at: www.w3.org/2002/Talks/04‐sweb/ (accessed 7 December 2005).

5. Berners‐Lee, T., Hendler, J. and Lassila, O. (2001), The Semantic Web, Scientific American.

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