Handling User Preferences and Added Value in Discovery of Semantic Web Services

L. Kovács, A. Micsik, Peter Pallinger
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引用次数: 9

Abstract

This paper presents the discovery engine implemented for the INFRAWEBS project, which combines a traditional IR-based pre-filtering step and a logic-based matching implemented in Prolog. The logic-based step of discovery uses a novel technique based on Prolog-style unification of terms. This approach performs well in finding matches of intersection type, and it also provides possibilities to compare, rank and explain these matches. Furthermore, it can support matching and ranking based on users' preferences compared to the added value offered by services.
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处理用户偏好和语义Web服务发现中的附加价值
本文介绍了为INFRAWEBS项目实现的发现引擎,它结合了传统的基于ir的预过滤步骤和Prolog中实现的基于逻辑的匹配步骤。基于逻辑的发现步骤使用了一种基于prolog风格的术语统一的新技术。这种方法在寻找交集类型的匹配方面表现良好,并且还提供了对这些匹配进行比较、排序和解释的可能性。此外,它还可以根据用户的偏好与服务提供的附加价值进行匹配和排名。
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