Promoting transactions for A/E/C product information

Current approaches that support the transactions of A/E/C product information are not able to handle issues including ambiguous textual product information, domain knowledge utilization, and information comprehensiveness all at one time. Therefore, this researcher has developed a knowledge-supported approach to tackle the recognized issues to obtain an increased amount of product information from the available market, as a way to promote A/E/C product information transactions. Specifically, two strategies including automated query expansion and conceptual indexing that incorporate domain knowledge into Information Retrieval (IR) models were adapted and tested to compare with an existing search engine their capabilities in gathering additional product information. It was concluded from the investigation and testing that existing domain knowledge can be helpful when used adequately with IR operations to promote the transaction of A/E/C product information.