publication . Article . 2013

Solving guesstimation problems using the Semantic Web: Four lessons from an application

Alan Bundy; Gintautas Sasnauskas; Michael Chan;
Open Access English
  • Published: 10 Oct 2013
  • Country: United Kingdom
Abstract
We draw on our experience of implementing a semi-automated guesstimation application of the Semantic Web, gort, to draw four lessons, which we claim are of general applicability. These are:<br/>1. Inference can unleash the Semantic Web: The full power of the web will only be realised when we can use it to infer new knowledge from old.<br/>2. The Semantic Web does not constrain the inference mechanisms: Since we must anyway curate the knowledge we extract from the web, we can take the opportunity to translate it into what ever representational formalism is most appropriate for our application. This also enables the use of whatever inference mechanism is most appr...
Subjects
free text keywords: semantic Web, Guesstimation, Computer Networks and Communications, Information Systems, Computer Science Applications
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