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| 基于语义距离度量模型的语义Web服务匹配排序机制 | |
| 引用本文： | 曾志浩,应时,陈锐,倪友聪,赵楷.基于语义距离度量模型的语义Web服务匹配排序机制[J].计算机工程与科学,2010,32(6):138-141. |
| 作者姓名： | 曾志浩 应时 陈锐 倪友聪 赵楷 |
| 作者单位： | 1. 武汉大学软件工程国家重点实验室,湖北,武汉,430072 2. 武汉大学软件工程国家重点实验室,湖北,武汉,430072;安徽建筑工业学院数理系,安徽,合肥,230018 3. 武汉大学软件工程国家重点实验室,湖北,武汉,430072;新疆大学信息科学与工程学院,新疆,乌鲁木齐,830046 |
| 基金项目： | 国家自然科学基金，国家高技术研究发展计划(863计划)，国家重点基础研究发展规划(973计划) |
| 摘 要： | 随着语义Web服务技术研究工作的不断深入,因特网上语义Web服务数量急剧增加。如何快速便捷地定位可用语义Web服务已经成为一个迫切且关键的问题。在语义Web服务匹配技术研究中,其中一个重要的研究主题就是语义Web服务匹配结果的排序机制。本文在综合概括和分析各种关于语义Web服务匹配结果排序机制的基础上,提出了一种基于语义距离度量模型的语义Web服务匹配结果排序机制,利用该排序机制,计算待匹配语义Web服务的语义相似度量,并依据此度量对语义Web服务匹配结果进行排序。该度量模型将语义Web服务引用概念间的语义关系转换成可精确比较的量化度量值,对属于相同语义匹配类型的匹配候选服务也能够分别计算语义距离,区分出相同匹配类型的候选服务与服务请求的匹配程度,从而达到改善用户对语义Web服务的搜索体验的目的。 |
| 关 键 词： | 语义Web服务 语义Web服务搜索 语义Web服务匹配 语义Web服务排序 |
| 收稿时间： | 2009-11-13 |
| 修稿时间： | 2010-02-10 |
A Ranking Mechanism for Semantic Web Service Matchmaking Based on the Semantic Distance Metric Model |
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| ZENG Zhi-Hao,YING Shi,CHEN Rui,NI You-cong,ZHAO Kai.A Ranking Mechanism for Semantic Web Service Matchmaking Based on the Semantic Distance Metric Model[J].Computer Engineering & Science,2010,32(6):138-141. | |
| Authors: | ZENG Zhi-Hao YING Shi CHEN Rui NI You-cong ZHAO Kai |
| Affiliation: | (1.State Key Laboratory of Software Engineering,Wuhan University,Wuhan 430072;2.Department of Mathematics and Physics,Anhui Institute of Architecture and Industry,Hefei 230018;3.School of Information Science and Engineering,Xinjiang University,Urumqi 830046,China) |
| Abstract: | With the Semantic Web Services technology research work going on, the number of Semantic Web Services on the Internet have dramatically increased, and how to locate available Semantic Web Services quickly and easily has become an urgent and key issue. Among the Semantic Web Service matchmaking technology researches, one of the important research themes is the Semantic Web Service matchmaking result ranking mechanism. In this paper, a novel Semantic Web Service ranking mechanism based on the semantic distance metric model is proposed. The calculation of semantic similarity measure can be realized by using this three dimensional semantic distance metric model.Therefore, the Semantic Web Service matchmaking results can be ranked in accordance with the semantic similarity measure. The semantic relationship of concepts referred by Semantic Web Services can be converted into quantified degrees according to the metric model, and can achieve high performance of the user experience of the Semantic Web Services search. |
| Keywords: | semantic web service semantic web service search semantic web service matchmaking semantic web service ranking |
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