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    Web@IDSS – Argumentation-enabled Web-based IDSS for reasoning over incomplete and conflicting information

    Access Status
    Fulltext not available
    Authors
    Janjua, Naeem Khalid
    Hussain, Farookh Khadeer
    Date
    2011
    Type
    Journal Article
    
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    Citation
    Janjua, Naeem Khalid and Hussain, Farookh Khadeer. 2011. Web@IDSS – Argumentation-enabled Web-based IDSS for reasoning over incomplete and conflicting information. Knowledge-Based Systems. 32, pp. 9-27.
    Source Title
    Knowledge-Based Systems
    DOI
    10.1016/j.knosys.2011.09.009
    ISSN
    0950-7051
    School
    Digital Ecosystems and Business Intelligence Institute (DEBII)
    URI
    http://hdl.handle.net/20.500.11937/4617
    Collection
    • Curtin Research Publications
    Abstract

    Over the past few decades, there has been a resurgence of interest in using high-level software intelligence for business intelligence (BI). The objective is to produce actionable information that is delivered at the right time, easily comprehendible and exportable to other software to assist business decisionmaking processes. Although the design and development of decision support systems (DSS) has been carried out for over 40 years, DSS still suffer from many limitations such as poor maintainability, poor flexibility and less reusability. The development of the Internet and WWW has helped information systems to overcome those limitations and Web DSS is now an active area of research in business intelligence,impacting significantly on the way information is exchanged and businesses are conducted. However, to remain competitive, companies rely on business intelligence (BI) to continually monitor and analyze the operating environment (both internal and external), to identify potential risks, and to devise competitive business strategies. However, the current Web DSS applications are not able to reason over information present across organizational boundaries which could be incomplete and conflicting. The use of an argumentation-based mechanism has not been explored to address such shortcomings in Web DSS. Argumentationis a kind of commonsense reasoning used by human beings to reach a justifiable conclusionwhen available information is incomplete and/or inconsistent among participants.In this paper, we propose and elaborate in detail a conceptual framework and formal argumentation-based semantics for Web enabled Intelligent DSS (Web@IDSS). We evaluate the use of argumentative reasoning in Web DSS with the help of a case study, prototype development and future directions. Applications built according to the proposed framework will provide more practical, understandable results to decision makers.

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