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A Pragmatic Approach for the Semantic Description and Matching of Pervasive Resources

A Pragmatic Approach for the Semantic Description and Matching of Pervasive Resources
A Pragmatic Approach for the Semantic Description and Matching of Pervasive Resources
The increasing popularity of personal wireless devices has raised new demands for the efficient discovery of heterogeneous devices and services in pervasive environments. With the advancement of the electronic world, the diversity of available services is increasing rapidly. %This raises new demands for the efficient discovery and location of heterogeneous services and resources in dynamically changing environments. Traditional approaches for service discovery describe services at a syntactic level and the matching mechanisms available for these approaches are limited to syntactic comparisons based on attributes or interfaces. In order to overcome these limitations, there has been an increased interest in the use of semantic description and matching techniques to support effective service discovery. In this paper, we present a semantic matching approach to facilitate the discovery of device-based services 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 during the matching process. The solution has been systematically evaluated for its retrieval effectiveness and the results have shown that the matcher results agree reasonably well with human judgement. Another important practical concern is the efficiency and the scalability of the semantic matching solution. Therefore, we have evaluated the scalability of the proposed solution by investigating the variation in matching time in response to increasing numbers of advertisements and increasing request sizes, and have presented the empirical results.
Semantic Matching, Pervasive Computing
Bandara, Ayomi
6216d014-bb57-49eb-9666-83c0a75e66ca
Payne, Terry
0bb13d45-2735-45a3-b72c-472fddbd0bb4
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Gibbins, Nicholas
98efd447-4aa7-411c-86d1-955a612eceac
Lewis, Tim
b5bf4710-4588-4567-bc7c-18a476f04673
Bandara, Ayomi
6216d014-bb57-49eb-9666-83c0a75e66ca
Payne, Terry
0bb13d45-2735-45a3-b72c-472fddbd0bb4
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Gibbins, Nicholas
98efd447-4aa7-411c-86d1-955a612eceac
Lewis, Tim
b5bf4710-4588-4567-bc7c-18a476f04673

Bandara, Ayomi, Payne, Terry, De Roure, David, Gibbins, Nicholas and Lewis, Tim (2008) A Pragmatic Approach for the Semantic Description and Matching of Pervasive Resources. 3rd International Conference on Grid and Pervasive Computing (GPC 2008). (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

The increasing popularity of personal wireless devices has raised new demands for the efficient discovery of heterogeneous devices and services in pervasive environments. With the advancement of the electronic world, the diversity of available services is increasing rapidly. %This raises new demands for the efficient discovery and location of heterogeneous services and resources in dynamically changing environments. Traditional approaches for service discovery describe services at a syntactic level and the matching mechanisms available for these approaches are limited to syntactic comparisons based on attributes or interfaces. In order to overcome these limitations, there has been an increased interest in the use of semantic description and matching techniques to support effective service discovery. In this paper, we present a semantic matching approach to facilitate the discovery of device-based services 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 during the matching process. The solution has been systematically evaluated for its retrieval effectiveness and the results have shown that the matcher results agree reasonably well with human judgement. Another important practical concern is the efficiency and the scalability of the semantic matching solution. Therefore, we have evaluated the scalability of the proposed solution by investigating the variation in matching time in response to increasing numbers of advertisements and increasing request sizes, and have presented the empirical results.

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More information

Accepted/In Press date: 1 March 2008
Venue - Dates: 3rd International Conference on Grid and Pervasive Computing (GPC 2008), 2008-03-01
Keywords: Semantic Matching, Pervasive Computing
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 265318
URI: https://eprints.soton.ac.uk/id/eprint/265318
PURE UUID: d39e9916-9313-45cc-9ba1-5edef90d66fa
ORCID for David De Roure: ORCID iD orcid.org/0000-0001-9074-3016
ORCID for Nicholas Gibbins: ORCID iD orcid.org/0000-0002-6140-9956

Catalogue record

Date deposited: 12 Mar 2008 06:09
Last modified: 19 Oct 2018 00:35

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Contributors

Author: Ayomi Bandara
Author: Terry Payne
Author: David De Roure ORCID iD
Author: Nicholas Gibbins ORCID iD
Author: Tim Lewis

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