Ontology-Based Information Tailoring

C. Curino, E. Quintarelli, L. Tanca
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引用次数: 16

Abstract

Current applications are often forced to filter the richness of datasources in order to reduce the information noise the user is subject to. We consider this aspect as a critical issue of applications, to be factorized at the data management level. The Context-ADDICT system, leveraging on ontology-based context and domain models, is able to personalize the data to be made available to the user by "context-aware tailoring". In this paper we present a formal approach to the definition of the relationship between context (represented by an appropriate context model) and application domain (modeled by a domain ontology). Once such relationship has been defined, we are able to work out the boundary of the portion of the domain relevant to a user in a certain context. We also sketch the implementation of a visual tool supporting the application designer in this modeling task
基于本体的信息裁剪
当前的应用程序经常被迫过滤丰富的数据源,以减少用户受到的信息噪声。我们认为这方面是应用程序的一个关键问题,需要在数据管理级别进行分解。context- addict系统利用基于本体的上下文和领域模型,能够通过“上下文感知剪裁”来个性化提供给用户的数据。在本文中,我们提出了一种正式的方法来定义上下文(由适当的上下文模型表示)和应用领域(由领域本体建模)之间的关系。一旦定义了这种关系,我们就能够计算出在特定上下文中与用户相关的领域部分的边界。我们还概述了在此建模任务中支持应用程序设计器的可视化工具的实现
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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