A pragmatic approach for the semantic description and matching of pervasive resources
A pragmatic approach for the semantic description and matching of pervasive resources
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DOI：
10.1108/17427371011033271
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发表时间：
2010-01-01
影响因子：
2.6
通讯作者：
Lewis, Tim
中科院分区：
文献类型：
--
作者：
Bandara, Ayomi;Payne, Terry;Lewis, Tim
目的-有越来越多的兴趣在使用语义描述和匹配技术，以支持服务发现和克服传统的句法方法的局限性。然而，现有的语义匹配方法缺乏某些理想的属性，必须存在于一个有效的解决方案，以支持服务发现。本文的目的是提出一种解决方案，以促进有效的语义匹配的资源请求和广告在普适environment.Design/方法/approaches-本文提出了一种语义描述和匹配的方法，以促进资源发现在普适环境中;该方法包括一个排序机制，该机制根据服务的适用性对服务进行排序，并考虑结果-该解决方案已被评估其有效性和结果表明，匹配器的结果相当好地同意与人类的判断。该解决方案还评估其效率/可扩展性和从实验结果中获得的，它可以观察到，对于大多数实际情况下，匹配时间可以被认为是可以接受的合理数量的广告和请求sizes.Originality/值-所提出的方法提高了现有的语义匹配解决方案在几个关键方面。具体而言，它提出了一个有效的近似匹配和排名标准，并在匹配过程中纳入优先级考虑。实验结果表明，这些特征显著提高了语义匹配的有效性。
Purpose - 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. The purpose of this paper is to present a solution to facilitate the effective semantic matching of resource requests and advertisements in pervasive environments.Design/methodology/approach - The paper presents 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.Findings - 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, it can be observed that for most practical situations, matching time can be considered acceptable for reasonable numbers of advertisements and request sizes.Originality/value - 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 improve the effectiveness of semantic matching.