Evaluating Knowledge Management Techniques to Augment Network Fault Diagnosis

Document Type

Conference Proceeding

Publication Date

1-1-2004

Abstract

This research in progress proposes to evaluate the effectiveness of using Knowledge Management (KM) approaches in conjunction with Decision Support Systems (DSS). The authors performed a preliminary field survey at a global optical telecommunications network that is characterized by dispersed groups of collaborating engineers and other stakeholders. The results indicate alarm correlation has been a major challenge for telecommunications systems. A DSS should theoretically be able to leverage expert engineering knowledge using KM techniques to alleviate these challenges. This research will evaluate two specific DSS/KM approaches for capturing and sharing this engineering knowledge across independent network nodes. A rule-based approach allows local field engineers to expand the system’s knowledge base. In addition, the organization’s Research & Development engineers will distribute a knowledge base model that includes a behavioral model of the equipment. The models will then be combined with an inference engine to perform root-cause analysis of network faults.

Identifier

85139066335 (Scopus)

Publication Title

10th Americas Conference on Information Systems Amcis 2004

First Page

2230

Last Page

2234

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