Knowledge-assisted retrieval of online product information in architectural/engineering/construction

Lin, K Y and Soibelman, L (2007) Knowledge-assisted retrieval of online product information in architectural/engineering/construction. Journal of Construction Engineering and Management, 133(11), pp. 871-879. ISSN 0733-9364

Abstract

With 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.

Item Type: Article
Uncontrolled Keywords: information management; information retrieval; information technology; internet; knowledge-based systems
Index terms: knowledge-based system, specification, manufacturer, validation, acquisition, adaptation, information retrieval, strategy, practitioner, prototype, internet, information technology, product information
Subjects: artificial intelligence, business, professional development, contractual condition, management, innovation studies, user focus, computing systems, practitioner, data management, modelling and simulation
Topics: Information Management, Contract Administration, Design Practice, Engineering Principles, Roles and Professions, Digital Applications, Business Strategy
Descriptive scope: 2 PC

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here