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面向通用用户模型的个人资料共享与重用。

Towards a ubiquitous user model for profile sharing and reuse.

机构信息

Universidad Panamericana Campus México, Augusto Rodin 498, Col Insurgentes-Mixcoac, Mexico City 03920, Mexico.

出版信息

Sensors (Basel). 2012 Sep 28;12(10):13249-83. doi: 10.3390/s121013249.

Abstract

People interact with systems and applications through several devices and are willing to share information about preferences, interests and characteristics. Social networking profiles, data from advanced sensors attached to personal gadgets, and semantic web technologies such as FOAF and microformats are valuable sources of personal information that could provide a fair understanding of the user, but profile information is scattered over different user models. Some researchers in the ubiquitous user modeling community envision the need to share user model's information from heterogeneous sources. In this paper, we address the syntactic and semantic heterogeneity of user models in order to enable user modeling interoperability. We present a dynamic user profile structure based in Simple Knowledge Organization for the Web (SKOS) to provide knowledge representation for ubiquitous user model. We propose a two-tier matching strategy for concept schemas alignment to enable user modeling interoperability. Our proposal is proved in the application scenario of sharing and reusing data in order to deal with overweight and obesity.

摘要

人们通过多种设备与系统和应用程序进行交互,并愿意分享有关偏好、兴趣和特征的信息。社交网络配置文件、附加到个人小工具的高级传感器的数据以及 FOAF 和微格式等语义 Web 技术是个人信息的有价值来源,可以提供对用户的全面了解,但配置文件信息分散在不同的用户模型中。普适用户建模社区的一些研究人员设想需要共享来自异构源的用户模型信息。在本文中,我们解决了用户模型的语法和语义异构性问题,以实现用户建模的互操作性。我们提出了一种基于简单知识组织系统(SKOS)的动态用户配置文件结构,为普适用户模型提供知识表示。我们提出了一种两级概念模式对齐匹配策略,以实现用户建模的互操作性。我们的提案在共享和重用数据以应对超重和肥胖的应用场景中得到了验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ef6/3545566/6c551bf77e57/sensors-12-13249f1.jpg

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