A Framework to Analyze User Interactions in an E-Commerce Environment

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Author(s): Manoj A. Thomas (Virginia Commonwealth University, USA)and Richard Redmond (Virginia Commonwealth University, USA)
Copyright: 2011
Pages: 13
Source title: Intelligent, Adaptive and Reasoning Technologies: New Developments and Applications
Source Author(s)/Editor(s): Vijayan Sugumaran (Oakland University, USA)
DOI: 10.4018/978-1-60960-595-7.ch002

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference

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Abstract

As e-commerce applications proliferate the Web, the cognitive load of sifting through the copious volumes of information in search of relevance has become formidable. Since the nature of foraging for information in digital spaces can be characterized as the interaction between internal task representation and the external problem domain, we look at how expert systems can be used to reduce the complexity of the task. In this chpater, we describe a conceptual framework to analyze user interactions in an e-commerce environment. We detail the use of the ontology language OWL to express the semantics of the representations and the use of SWRL rule language to define the rule base for contextual reasoning. We illustrate how an expert system can be used to guide users by orchestrating a cognitive fit between the task environment and the task solution.

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A Framework to Analyze User Interactions in an E-Commerce Environment

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