A metadata filter for intranet portal organizational memory information systems

Authors:
Yong Gu Ji;Gavriel Salvendy
Affiliations:
School of Industrial Engineering, Purdue University, 1287 Grissom Hall, West Lafayette, IN;School of Industrial Engineering, Purdue University, 1287 Grissom Hall, West Lafayette, IN
Venue:
International Journal of Human-Computer Studies
Year:
2002

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Abstract

An intranet portal is proposed as an information infrastructure to support organizational learning. Specifically, an agent-like metadata filter for easy information/knowledge retrieval in the intranet portal is suggested and tested. The metadata filter preserves the context of digital objects and presents an uncluttered window by controlling the metadata elements. An experiment using 20 participants examined whether the metadata filter reduces search and retrieval performance time (the dependent variable). The main results indicate that the metadata filter significantly (36%) improved user's performance in identifying information. The results of the study suggest that the proposed metadata filer may be an effective interface tool to improve users' performances in identifying information in an intranet portal organizational memory information system.