Conceptualizing structurable tasks in the development of knowledge-based systems

Michel Benaroch, Mohan Tanniru

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Conventional approaches to knowledge-based system (KBS) development are not appropriate for building KBSs when the application task is structurable (i.e., exhibits a certain degree of ill structure). Building a KBS for structurable tasks requires an understanding of the problem-solving strategies used by an expert to manage the ill structure, while at the same time relying on domain theories to understand the structured parts of the task. This paper presents a methodology for developing a knowledge model for structurable tasks during the conceptualization stage of KBS development. This is equivalent to building a logical model for design during the development of conventional information systems. The methodology relies on prior research on the decomposition and characterization of a task based on its various attributes. The paper also illustrates the use of the methodology in the case of KBS development for financial hedging. The paper concludes with some observations about the potential impact of this methodology on other stages in the KBS development process.

Original languageEnglish (US)
Pages (from-to)415-449
Number of pages35
JournalDecision Sciences
Volume27
Issue number3
StatePublished - Jan 1 1996

Keywords

  • Knowledge Modeling
  • Knowledge-Based Systems
  • Task Conceptualization
  • Task structuring

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Strategy and Management
  • Information Systems and Management
  • Management of Technology and Innovation

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