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contributor authorKen-Yu Lin
contributor authorLucio Soibelman
date accessioned2017-05-08T20:46:24Z
date available2017-05-08T20:46:24Z
date copyrightNovember 2007
date issued2007
identifier other%28asce%290733-9364%282007%29133%3A11%28871%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/26675
description abstractWith a better understanding about the product market, industry practitioners can make more informed decisions for product specification, selection, and procurement. However, current approaches that support Architectural/Engineering/Construction (A/E/C) information acquisition do not provide a comprehensive market scan. While the Internet provides an ever-growing resource for product information, existing approaches have limited capabilities to make use of this virtual market. Therefore, the writers have developed a knowledge-assisted approach to specifically address the potential of the virtual market—help retrieve A/E/C product information, particularly information about different manufacturers, from the Internet. The paper introduces the building blocks of the developed approach, which includes domain knowledge utilization, information retrieval (IR) techniques, and strategies that incorporate domain knowledge into knowledge-supported IR approaches. Specifically, domain knowledge represented in the form of a thesaurus was used with query expansion strategies under the framework of an adaptation of the extended IR Boolean model. It was concluded from the prototype validation that domain knowledge can be extremely helpful when acquiring A/E/C product information from online resources using the developed approach.
publisherAmerican Society of Civil Engineers
titleKnowledge-Assisted Retrieval of Online Product Information in Architectural/Engineering/Construction
typeJournal Paper
journal volume133
journal issue11
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/(ASCE)0733-9364(2007)133:11(871)
treeJournal of Construction Engineering and Management:;2007:;Volume ( 133 ):;issue: 011
contenttypeFulltext


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