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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 35
DEVELOPMENTS IN ARTIFICIAL INTELLIGENCE FOR CIVIL AND STRUCTURAL ENGINEERING
Edited by: B.H.V. Topping
Paper VI.1

An Object-Oriented Approach to Site Investigation Data Management and Interpretation

A.J. Oliver and D.G. Toll

School of Engineering, University of Durham, Durham, UK

Full Bibliographic Reference for this paper
A.J. Oliver, D.G. Toll, "An Object-Oriented Approach to Site Investigation Data Management and Interpretation", in B.H.V. Topping, (Editor), "Developments in Artificial Intelligence for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 89-95, 1995. doi:10.4203/ccp.35.6.1
Abstract
A knowledge-based system (KBS) called SIGMA is described which can be used to assist with the management and interpretation of geotechnical data from a site investigation. The heart of the system consists of a database for storing the site investigation information and this is tightly coupled to a knowledge-based system for interpretation of the data.

The database has been implemented using the INGRES database management system. The knowledge-based component of the system has been developed using PROKAPPA, an object oriented development environment on a Sun Sparc2 workstation. The combination of database and knowledge-based system technology provides a very powerful tool for data management and interpretation.

The applicability of object-oriented methodologies to site investigation data interpretation is discussed. The PROKAPPA software and the associated tools which have been used in the development of SIGMA are described.

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