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(to be completed)

 


ThinkMind // International Journal On Advances in Intelligent Systems, volume 4, numbers 3 and 4, 2011 // View article intsys_v4_n34_2011_5


Semantic Matchmaking for Location-Aware Ubiquitous Resource Discovery

Authors:
Michele Ruta
Floriano Scioscia
Eugenio Di Sciascio
GIacomo Piscitelli

Keywords: Ubiquitous Computing; Semantic Web; Resource Discovery; Matchmaking; Location-based Services; Human-Computer Interaction

Abstract:
Semantic technologies can increase effectiveness of resource discovery in mobile environments. Nevertheless, a full exploitation is currently braked by limitations in stability of data links and in availability of computation/memory capabilities of involved devices. This paper presents a platform-independent mobile semantic discovery framework as well as a working prototypical implementation, enabling advanced knowledge-based services taking into account user’s location. The approach allows to rank discovered resources based on a combination of their semantic similarity with respect to the user request and their geographical distance from the user itself, also providing a logic-based explanation of outcomes. A distinguishing feature is that the presented mobile decision support tool can be proficiently exploited by a nontechnical user thanks to careful selection of features, GUI design and optimized implementation. The proposed approach is clarified and motivated in a ubiquitous tourism case study. Performance evaluations are presented to prove its feasibility and usefulness.

Pages: 113 to 127

Copyright: Copyright (c) to authors, 2011. Used with permission.

Publication date: April 30, 2012

Published in: journal

ISSN: 1942-2679

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