Distributed Ontology Architecture for Knowledge Management in Highway Construction
Publication: Journal of Construction Engineering and Management
Volume 131, Issue 5
Abstract
The ongoing plethora of rehabilitation in the infrastructure domain requires more planning and integration during design and construction. To achieve this, there is a need for developing and using semantic (ontology-based) mechanisms for the exchange of development knowledge among all project stakeholders. This paper presents a distributed ontology architecture for knowledge management in highway construction. With every other utility tied to the highway geometry, the architecture is intended to be the base for a cross-discipline knowledge exchange in the infrastructure domain. The architecture presents highway knowledge on three levels: domain knowledge (an umbrella for infrastructure shared knowledge), application knowledge (representation of highway-specific knowledge), and user knowledge (an enterprise-specific representation of highway knowledge). The proposed architecture models highway concepts using six major root concepts: project, process, product, actor, resources, and technical topics (attributes and constraints). The architecture was developed using rigorous knowledge acquisition and ontology development techniques. It was developed as an extension for the e-COGNOS ontology. The architecture was validated through input from domain experts.
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References
Atkin, B., Flanagan, R., Marsh, A., and Agapiou, A. (1995). Improving value for money in construction: Guidance for chartered surveyors and their clients, The Royal Institution of Chartered Surveyors, London.
Bench-Capon, T. J. M. (1990). Knowledge representation: An approach to artificial intelligence, APIC Series, No. 32, Academic, London.
Berners-Lee, T. (2001). Weaving the web, Harpur, San Francisco.
Boyd, J. (1976). “Destruction and creation.” ⟨http://www.belisarius.com⟩ (August 1, 2004).
Chandrasekaran, B., and Josephson, J. R. (1997). “The ontology of tasks and methods.” Working Notes of the AAAI Spring Symp. on Ontological Engineering, Stanford Univ., Stanford, Calif.
Davey, B. A., and Priestley, H. A. (1990). Introduction to lattices and order, Cambridge Univ. Press, Cambridge, U.K.
e-COGNOS evaluation results. (2003). “e-COGNOS consortium.” ⟨www.e-cognos.org⟩ (August 3, 2004).
Gomez-Pereze, A. (1998). “Knowledge sharing and re-use.” Handbook of applied expert systems, J. Liebowitz, ed., CRC, Boston.
Gruber, T. (1993). “A translation approach to portable ontology specifications.” Knowledge System Laboratory, Technical Rep. No. KSL 92-71, Computer Science Dept., Stanford Univ., Stanford, Calif.
Gruninger, M., and Fox, M. S. (1996). “The logic of enterprise modeling.” Modeling and methodologies for enterprise integration, P. Bernus and L. Nemes, eds., Chapman and Hall, Cornwall, U.K.
Guarino, N. (1997). “Understanding, building, and using ontologies—A commentary to Using explicit ontologies in KBS development by van Heijst, Schreiber, and Wielinga.” Int. J. Comput.-Human Studies, 46(2–3), 293–310.
Guarino, N., and Welty, C. (2000). “Towards a methodology for ontology based model engineering.” Proc., IWME-2000-International Workshop on Model Engineering, Sophia Antipolis and Cannes, France, June 12–16.
Katanuschkov, P., Gehre, A., and Scherer, R. J. (2002). “An engineering Ontology framework as advanced user gateway to IFC model data.” Proc., European Conf. on Product and Process Modeling, Prortoroz, Slovenia.
Klinker, G., Bhola, C., Dallemagne, G., Marques, D., and Mcdermott, J. (1990). “Usable and reusable programming constructs.” Proc., 5th AAAI Knowledge Acquisition for Knowledge Based Systems Workshop, Banff, Canada, SRDG, Univ. of Calgary, Calgary, Canada.
Lima, C., Fies, B., El-Diraby, T. A., and Lefrancois, G. (2003). “The challenge of using a domain Ontology in KM solutions: The e-COGNOS experience.” Proc., 10th ISPE Int. Conf. on Concurrent Engineering: Research and Applications, Madeira Island, Portugal.
Maedche, A. (2002). Ontology learning for the semantic web, Kluwer Academic, New York.
Maedche, A., Motik, B., Stojanovic, L., Studer, R., and Volz, R. (2003a). “An infrastructure for searching, reusing and evolving distributed ontologies.” ⟨http://kaon.semanticweb.org.⟩ (June 12, 2003).
Maedche, A., Motik, B., Stojanovic, L., Studer, R., and Volz, R. (2003b). “Ontologies for enterprise knowledge management.” IEEE Intell. Syst., 18(1), 26–33.
Schreiber, G. (1992). “Pragmatics of the knowledge level.” PhD thesis, Univ. of Amsterdam, Amsterdam, The Netherlands.
Uschold, M., and Jasper, R. (1999). “A framework for understanding and classifying ontology applications.” Proc., IJCAI-99 Workshop on Ontologies and Problem-Solving Methods (KRRS), Stockholm, Sweden.
Visser, P. R. S. (1995). Knowledge specification for multiple legal tasks: A case study of the interaction problem in the legal domain, Computer/Law Series, No. 17, Kluwer Law International, The Hague, The Netherlands.
Visser, P. R. S., and Bench-Capon, T. J. M. (1997). “A comparison of four ontologies for the design of legal knowledge systems.” Artificial Intelligence Law, Springer Science, 6(1), 27–57.
Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 131 • Issue 5 • May 2005
Pages: 591 - 603
Copyright
© 2005 ASCE.
History
Received: Oct 13, 2003
Accepted: Nov 17, 2004
Published online: May 1, 2005
Published in print: May 2005
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