Degree Type

Thesis

Date of Award

2008

Degree Name

Master of Science

Department

Civil, Construction, and Environmental Engineering

First Advisor

Amr Kandil

Second Advisor

Edward Jaselskis

Third Advisor

Nick Pendar

Abstract

Knowledge Management (KM) has become the focus of a lot of scientific research during the second half of the twentieth century as researchers discovered the importance of the knowledge resource to business organizations. Recent research developed ontology-based knowledge management systems (KMS) to provide a standardized reference for knowledge consistency. However, use of ontologies has been impeded by the difficulties encountered in building ontologies, especially difficulties in the knowledge acquisition stage. It is hypothesized that NLP tools can be usefully implemented to assist in the knowledge acquisition stage for ontology building in specific, and to develop effective KMS’s in general. The proposed system, CRISP, utilizes a shallow parser for extracting concept relations from construction contract documents to assist in the development of an ontology-based KMS. When compared with human evaluators, CRISP achieved almost 80% of the average kappa score attained by the evaluators, and approximately 90% of their F-measure score.

DOI

https://doi.org/10.31274/rtd-180813-6634

Publisher

Digital Repository @ Iowa State University, http://lib.dr.iastate.edu

Copyright Owner

Mohammed Abdelrahman Al Qady

Language

en

Date Available

June 1, 2013

Proquest ID

AAI1453109

OCLC Number

235287610

ISBN

9780549541790

File Format

application/pdf

File Size

124 pages

Share

COinS