A pragmatic approach for the semantic description and matching of pervasive resources


Bandara, Ayomi, Payne, Terry, De Roure, David, Gibbins, Nicholas and Lewis, Tim (2010) A pragmatic approach for the semantic description and matching of pervasive resources. International Journal of Pervasive Computing and Communication, 6, (1), 19-46.

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Description/Abstract

There has been an increased interest in the use of semantic description and matching techniques, to support service discovery and to overcome the limitations in the traditional syntactic approaches. However, the existing semantic matching approaches lack certain desirable properties that must be present in an effective solution to support service discovery. We present a semantic description and matching approach to facilitate resource discovery in pervasive environments; the approach includes a ranking mechanism that orders services according to their suitability and also considers priorities placed on individual requirements in a request. The solution has been evaluated for its effectiveness and the results have shown that the matcher results agree reasonably well with human judgement. The solution was also evaluated for its efficiency/scalability and from the experimental results obtained; we can observe that for most practical situations, matching time can be considered acceptable for reasonable numbers of advertisements and request sizes. The proposed approach improves existing semantic matching solutions in several key aspects. Specifically; it presents an effective approximate matching and ranking criterion and incorporates priority consideration in the matching process. As shown in the evaluation experiments, these features significantly improves the effectiveness of semantic matching.

Item Type: Article
ISSNs: 1742-7371
Related URLs:
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Web & Internet Science
ePrint ID: 268379
Date Deposited: 14 Jan 2010 17:11
Last Modified: 27 Mar 2014 20:14
Further Information:Google Scholar
ISI Citation Count:5
URI: http://eprints.soton.ac.uk/id/eprint/268379

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