Achieving Higher-level Learning Through Adaptable Semantic Web Applications

Dzbor, Martin; Motta, Enrico and Stutt, Arthur (2005). Achieving Higher-level Learning Through Adaptable Semantic Web Applications. International Journal of Knowledge and Learning, 1(1/2) pp. 25–44.

DOI: https://doi.org/10.1504/IJKL.2005.006249

Abstract

In this paper we propose refocusing the research from knowledge portals towards frameworks, which the end user can apply in many decision-making scenarios and which we call ‘personal portals’. Rather than pouring resources into a centralised access to knowledge repository, we suggest a more distributed approach to accessing knowledge. The core facets of such approach include:
• choice from multiple ontologies
• dynamic selection of ontological frames
• customisation of user interaction and knowledge-level inference results
• decoupling the content from a variety of contexts using the principles of conceptual (re-)framing.
A prototype of such approach Magpie is described to illustrate some of these tenets. Magpie is our ‘zero-overhead’ suite of tools facilitating three distinct perspectives on the Semantic Web: as a methodology for supporting the interpretation of web resources through ‘ontological lenses’, as a tool kit for supporting and realising Semantic Web browsing, and as a framework for building semantic web applications.

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