用户模型互操作性领域感知方法的评估

Eddie Walsh, A. O'Connor, V. Wade
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引用次数: 2

摘要

促进用户信息的综合管理变得越来越重要。跨异构系统交换用户信息有很多好处,特别是在提高可用于个性化的用户信息的质量和数量方面。用户模型互操作性的一种常见方法是使用映射工具在用户模型之间手动构建丰富的可执行映射。现有方法的一个关键问题是,对于这些专门的任务,映射工具通常过于通用,并且不为特定领域(如用户模型)中的管理员映射提供任何支持。本文提出了一种新的用户模型互操作方法,降低了用户模型互操作的复杂性,并为管理员完成用户模型映射提供了支持。用户模型互操作性的领域感知方法将可互换的领域知识直接集成到集成工具中。这种方法是在一个名为“烟雾”的系统中实现的,该系统是一个映射创建和执行环境,包括两个领域感知机制;规范用户模型和用户模型映射类型。在现有用户模型的集成中部署了烟雾,然后在用户研究中评估了领域感知方法。评估包括与使用商业地图工具Altova Mapforce应用的用户模型互操作性的通用方法进行直接比较。该评估的结果表明,与通用映射方法相比,使用领域感知方法在映射精度和可用性方面有所改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of a domain-aware approach to user model interoperability
It is becoming increasingly important to facilitate the integrated management of user information. Exchanging user information across heterogeneous systems has many benefits, particularly in enhancing the quality and quantity of user information available for personalization. One common approach to user model interoperability is the use of mapping tools to manually build rich executable mappings between user models. A key problem with existing approaches is that the mapping tools are often too generic for these specialized tasks and do not provide any support to an administrator mapping in a specific domain such as user models. This paper presents a novel approach to user model interoperability which lowers the complexity and provides support to administrators in completing user model mappings. The domain-aware approach to user model interoperability incorporates interchangeable domain knowledge directly into the integration tools. This approach was implemented in a system called FUMES which is a mapping creation and execution environment that includes two domain-aware mechanisms; a canonical user model and user model mapping types. FUMES was deployed in an integration of existing user models and the domain-aware approach was then evaluated in a user study. The evaluation consisted of a direct comparison with a generic approach to user model interoperability which was applied using the commercial mapping tool, Altova Mapforce. The results of this evaluation demonstrate improvements in mapping accuracy and usability when using the domain-aware approach compared to the generic mapping approach.
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