Knowledge-based product support systems

Doctoral thesis English OPEN
Lagos, Nikolaos
  • Subject: T1 | TA

This research helps bridge the gap between conventional product support, where the support system is considered as a stand-alone application, and the new paradigm of responsive one, where the support system frequently communicates with its environment and reacts to stimuli. This new paradigm would enable product support knowledge to be captured, stored, processed, and updated automatically, being delivered to the users when, where and in the form they need it. The research reported in this thesis first defines Product Support Systems (PRSSs) as electronic means that provide accurate and up-to-date information to the user in a coherent and personalised manner. Product support knowledge is then identified as the integration of product, task, user, and support documentation knowledge. Next, the thesis focuses on an ontology-based model of the structure, relations, and attributes of product support knowledge. In that model product support virtual documentation (PSVD) is presented as an aggregation of Information Objects (IOs) and Information Object Clusters (IOCs). The description of PSVD is followed by an analysis of the relation between IOs, IOCs, and domain knowledge. Then, the thesis builds on the ontology-based representation of product support knowledge and explores the synergy between product support, problem solving, and knowledge engineering. As a result, a structured problem solving approach is introduced that combines case-based adaptation and model-based generation techniques. Based on that approach a knowledge engineering framework for product support systems is developed. A conceptual model of context-aware product support systems that extends the framework is then introduced. The conceptual model includes an ontology-based representation of knowledge related to the users, their activities, the support environment, and the device being used. An approach to semi-automatically integrating design and documentation data is also proposed as part of context-aware product support systems development process.
  • References (54)
    54 references, page 1 of 6

    1. Aamodt, A. and Nygard, M. 1995. Different roles and mutual dependencies of data, information, and knowledge- An AI perspective on their integration. Data and Knowledge Engineering, 16 (3), pp. 191-222.

    2. ADL (Advanced Distributed Learning). 2004. SCORM-Sharable content object reference model, 2nd edition-Overview. URL: (Last accessed: 15/12/2005).

    3. Ahn, J.H. and Chang, J.G. 2004. Assessing the contribution of knowledge to business performance: the KP3 methodology. Decision Support Systems, 36 (4), pp. 403-416.

    4. Auriol, E., Crowder, R. M., McKendrick, R., Rowe, R., and Knudsen. T. 1999. Integrating case-based reasoning and hypermedia documentation: an application for the diagnosis o f a welding robot at Odense steel shipyard. Engineering Applications o f AI, 12 (6), pp. 691-703.

    5. Bakore, A., Galbraith, B., Wiggers, C., Eaves, J., Li, S., and Chopra, V. 2004. Professional Apache Tomcat 5, Wiley Publishing Inc., Indianapolis.

    6. Baldauf, M., Dustdar, S., and Rosenberg, F. 2004. A survey on context aware systems. International Journal of Ad Hoc and Ubiquitous Computing, Forthcoming. URL: (Last accessed: 28/09/2006).

    7. Bastiaens, T. J. 1999. Assessing an electronic performance support system for the analysis of jobs and tasks. International Journal of Training and Development, 3 (1), pp. 54-61.

    8. Belogun, J. and Jenkins, M. 2003. Re-conceiving change management: A knowledge-based perspective. European Management Journal, 21 (2), pp.247-257.

    9. Benko, S. and Webster, S. 1997. Preparing for EPSS projects. Communications of the ACM, 40 (7), pp. 60-63.

    10. Benton, W.C. and Srivastava, R. 1993 Product structure complexity and inventory storage capacity on the performance of a multi-level manufacturing system. International Journal o f Production Research, 11 (31), pp. 2531-2545.

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