| 摘要: |
| Web 服务正逐渐成为下一代基于Web 的应用程序开发的核心.随着服务质量的提高和数量的增加,如何按照个性化需求推荐合适的服务成为一个亟急需解决的问题.现有的服务推荐方法关注的是如何根据用户的需求推荐服务,至于被推荐的服务如何,能否满足用户潜在的需求等问题没有进一步处理;另外,在服务推荐结果列表中,没有衡量标准来区分相关度高低的服务.为了解决上述问题,分析了服务的隶属度函数,提出了一种推荐服务的衡量标准.利用动态规划思想,提出了一种基于本体的服务推荐方法.在服务推荐的结果中,隶属度作为衡量指标在服务推荐结果中区分相关度高低的服务.在备选的推荐服务列表中,只有相关度高的服务推荐给用户,非相关度高的服务不会推荐给用户.验证结果显示,推荐的服务是有效的和准确的. |
| 关键词: 服务发现过程和方法 动态规划 服务推荐标准 本体 服务推荐方法 |
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| 基金项目:国家自然科学基金(61003067, 61132001); 国家重点基础研究发展计划(973)(2011CB302704); 科技重大专项课题(2011ZX03002-002-01) |
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| Ontology-Based Service Recommendation and Its Measure Standard |
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YANG Zhi, WU Bu-Dan, CHEN Jun-Liang
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State Key Laboratory of Networking and Switching Technology (Beijing University of Posts and Telecommunications), Beijing 100876, China
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| Abstract: |
| Web Service is becoming the next generation of web-based application. With enhancement of quality of services and increasing quantity of services, how to recommend the suitable services according to personalized requirement becomes an urgent question. In the existing approaches of service recommendation, the result of service recommendation is the service list in which there is not evaluation standard that can be used to distinguish services with high relevancy or low relevancy. Therefore, in the real-world, users may obtain low relative services. To address the aforementioned problems, in this paper, membership function is analyzed and recommendation measure standard is proposed. With dynamic programming theory, an ontology-based approach of service recommendation is provided. In the result of service recommendation, membership as measure index is used to divide high relative services and low relative services. High relative services are recommended to the user, so the recommended services are accurate and available. |
| Key words: service discovery process and methodology dynamic programming service recommendation standard ontology service recommendation approach |
