The Architecture for Solving the Cross-Domain Keywords During New Product Development

Article Preview

Abstract:

The team-members for the new product development (NPD) are recruited from different departments in the enterprises. So the team-members in the design teams range from novices to experts in NPD. The juniors developer in the design project team lack more successful product-design experiences as their seniority and skills. Therefore, those developers always query and search their problems with the limited terminology via the information systems or websites. So the results of the querying and searching always are limited to the similar domain-knowledge. The new product development (NPD) involves multidisciplinary knowledge such as accumulated experiences of knowledge-workers, and different technical and legal documents. The information systems (IS) facilitating the NPD processes often include document-based knowledge management system (KMS), Product Data Management (PDM), Product Lifecycle Management (PLM) systems etc. With these different systems, novices at various stages of NPD processes often have problems to use the exact and suitable keywords to query the problems from those information systems. The study proposes a case-based reasoning to construct a hierarchical knowledge model to record knowledge-workers’ experiences and to store the information of experiences and the recommendation of experts. The aim of the study is that the proposed architecture can query the information scattered in different information systems by using their individual-domain terminology and retrieve the better fitted results of the querying.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 605-607)

Pages:

497-500

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Cooper, R. G. (1994). Perspective third-generation new product processes. Journal of Product Innovation Management, 11(1), 3-14.

Google Scholar

[2] Cooper, R. G. (2008). Perspective: The Stage-Gate® Idea-to-Launch Process—Update, What's New, and NexGen Systems*. Journal of Product Innovation Management, 25(3), 213-232.

DOI: 10.1111/j.1540-5885.2008.00296.x

Google Scholar

[3] Kolodner, J. L. (1983a). Maintaining organization in a dynamic long-term memory. Cognitive Science, 7(4), 243-280.

DOI: 10.1207/s15516709cog0704_1

Google Scholar

[4] Kolodner, J. L. (1983b). Reconstructive memory: A computer model. Cognitive Science, 7(4), 281-328.

Google Scholar

[5] Kolodner, J. L. (1988). DARPA Workshop on Case-Based Reasoning: Proceedings: Morgan Kaufmann Publishers Inc.

Google Scholar

[6] Kolodner, J. L. (1992). An introduction to case-based reasoning. Artificial Intelligence Review, 6(1), 3-34.

Google Scholar

[7] Necib, C., & Freytag, J. C. (2003). Ontology based query processing in database management systems. On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE, 839-857.

DOI: 10.1007/978-3-540-39964-3_53

Google Scholar

[8] Necib, C., & Freytag, J. C. (2005). Query processing using ontologies.

Google Scholar