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Explaining Semantic Web Applications
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Author(s): Deborah L. McGuinness (Stanford University, USA), Vasco Furtado (University of Fortaleza, Brazil), Paulo Pinheiro da Silva (University of Texas at El Paso, USA), Li Ding (Stanford University, USA), Alyssa Glass (Stanford University, USA)and Cynthia Chang (Stanford University, USA)
Copyright: 2010
Pages: 24
Source title:
Web Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Arthur Tatnall (Victoria University, Australia)
DOI: 10.4018/978-1-60566-982-3.ch119
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Abstract
In this chapter, we introduce the concept of explanation for Semantic Web applications by providing motivation, description, and examples. We describe the Inference Web explanation toolkit that provides support for a broad range of explanation tasks ranging from explaining deductive reasoning, to information extraction, to hybrid integrated learning systems. We argue that an explanation solution such as the one we endorse is required if we are to realize the full potential of hybrid, distributed, intelligent Web agents that users can trust and use.
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