A framework of context-awareness for ubiquitous computing middlewares
A framework of context-awareness for ubiquitous computing middlewares
复制标题
普适计算中间件的上下文感知框架
DOI：
10.1109/icis.2005.7
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Jee
中科院分区：
文献类型：
--
作者：
Hyunjung Park;Jee
在未来，无处不在的计算环境允许用户根据需要随时随地提供与无处不在的计算资源智能交互的适当服务或信息。因此，无处不在的计算环境需要上下文感知系统从各种情况或环境中收集和分析上下文信息。此外，该系统还应具有通过组合、推理和学习感知上下文来处理和生成上下文信息的能力。但以往的上下文感知系统缺乏对各种类型的上下文的系统处理，只有少数具有获取单个用户偏好或用户兴趣的学习机制。在本文中，我们提出了一种通用的普适计算中间件框架，它可以轻松地处理和生成来自不同传感器的各种类型的上下文。该框架旨在感知、组合、推断和学习上下文信息，以便在不断变化的环境中为用户提供各种服务。我们将提出的框架部分实现为音乐推荐系统的原型。
In upcoming future, ubiquitous computing environments allow users to provide appropriate services or information which intelligently interact with omnipresent computing resources as user's needs in anywhere and any-time fashion. So ubiquitous computing environments need context-aware systems to gather and analyze context information from situations or surroundings. Also the systems should have abilities to handle and generate context information by combining, inferencing and learning of sensed contexts. But the previous context-aware systems are lack of systematic handling of contexts in various types, and only a few have learning mechanisms to acquire individual users' preference or users' interests. In this paper, we propose a general framework for ubiquitous computing middlewares which easily handles and generates various types of contexts from diverse sensors. The framework is designed to sense combine, infer, and learn context information in order to provide users with various services in changing environments. We partially implemented the proposed framework for a music recommendation system as a prototype.