Organizational Semiotics Complements Knowledge Management: Two Steps to Knowledge Management Improvement

Organizational Semiotics Complements Knowledge Management: Two Steps to Knowledge Management Improvement

Jeffrey A. Schiffel
ISBN13: 9781609605957|ISBN10: 1609605950|EISBN13: 9781609605964
DOI: 10.4018/978-1-60960-595-7.ch006
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MLA

Schiffel, Jeffrey A. "Organizational Semiotics Complements Knowledge Management: Two Steps to Knowledge Management Improvement." Intelligent, Adaptive and Reasoning Technologies: New Developments and Applications, edited by Vijayan Sugumaran, IGI Global, 2011, pp. 104-122. https://doi.org/10.4018/978-1-60960-595-7.ch006

APA

Schiffel, J. A. (2011). Organizational Semiotics Complements Knowledge Management: Two Steps to Knowledge Management Improvement. In V. Sugumaran (Ed.), Intelligent, Adaptive and Reasoning Technologies: New Developments and Applications (pp. 104-122). IGI Global. https://doi.org/10.4018/978-1-60960-595-7.ch006

Chicago

Schiffel, Jeffrey A. "Organizational Semiotics Complements Knowledge Management: Two Steps to Knowledge Management Improvement." In Intelligent, Adaptive and Reasoning Technologies: New Developments and Applications, edited by Vijayan Sugumaran, 104-122. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-595-7.ch006

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Abstract

Inserting the human element into an Information System leads to interpreting the Information System as an information field. Organizational semiotics provides a means to analyze this alternate interpretation. The semantic normal forms of organizational semiotics extract structures from natural language texts that may be stored electronically. In themselves, the SNFs are only canonic descriptions of the patterns of behavior observed in a culture. Conceptual graphs and dataflow graphs, their dynamic variety, provide means to reason over propositions in first order logics. Conceptual graphs, however, do not of themselves capture the ontological entities needed for such reasoning. The culture of an organization contains natural language entities that can be extracted for use in knowledge representation and reasoning. Together in a rigorous, two-step process, ontology charting from organizational semiotics and dataflow graphs from knowledge engineering provide a means to extract entities of interest from a subject domain such as the culture of organizations and then to represent these entities in formal logic reasoning. This chapter presents this process, and concludes with an example of how process improvement in an IT organization may be measured in this two-step process.

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