A Semantic Web Services Query Optimization Method Based on Social Tagging

2011 International Conference on Network Computing and Information Security Pub Date : 2011-05-14 DOI:10.1109/NCIS.2011.155

Da Ning, Jianxiao Liu, Cheng Sheng

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引用次数: 1

Abstract

How to find web services quickly and accurately has become an urgent need. This paper presents a semantic web services query optimization method based on social tagging, under the guidance of the user behavior model for general service semantic of social tagging, a multidimensional-based social tagging method is proposed, it allows the user to tag the services from the perspectives of function attributes, non-functional attributes and contextual attributes of the services, recognizing the semantic annotation types of services, reducing the search scope and improving service query efficiency, Also FOAF(Friend of A Friend)-based social-semantic web community and social tagging ontology(STO) are established, Through the analysis of user attributes, tag attributes and service attributes and the relationship among them, the system will use the rule of ontology reasoning to find the web services to meet user demand, enhancing services searching of precision and completion. Finally, experimental analysis shows the feasibility and effectiveness of this method.

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一种基于社会标记的语义Web服务查询优化方法

如何快速准确地找到web服务已经成为一个迫切的需求。本文提出了一种基于社交标注的语义web服务查询优化方法，在社交标注通用服务语义用户行为模型的指导下，提出了一种基于多维度的社交标注方法，该方法允许用户从服务的功能属性、非功能属性和上下文属性三个角度对服务进行标注，识别服务的语义标注类型;建立了基于FOAF(Friend of A Friend)的社会语义web社区和社会标签本体(social tagging ontology, STO)，通过对用户属性、标签属性和服务属性的分析以及三者之间的关系，利用本体推理的规则来寻找满足用户需求的web服务，提高了服务搜索的精度和完成度。最后，通过实验分析验证了该方法的可行性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2011 International Conference on Network Computing and Information Security

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