利用基于上下文推理的基于web的智能CSCW

Yoshitaka Sakurai, Avelino J. Gonzalez, Johann Nguyen, K. Takada, Ken Uchida, S. Tsuruta
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引用次数: 2

摘要

为了使计算机支持的协同工作(CSCW)更加智能和可靠,本文讨论了上下文推理的有用性。为了确保项目目标的实现,项目经理(PM)保持对项目的控制在复杂的项目中扮演着非常重要的角色,在这些项目中,交互可能仅限于基于web的协作工具。在这样的限制下,他应该更有力地帮助避免成本超支,发货延迟,但最重要的是,包括产品可靠性在内的产品性能。我们利用基于上下文的推理(CxBR)来实现这些控制措施,这些措施通常由称职的项目经理使用。以一个火箭开发项目为领域,使用NASA的火箭设计开放软件对我们的技术进行评估。通过实验评价,说明了用CxBR表示的知识的易验证性和精细化性。此外,这种知识表示被认为是有效的,甚至可以用于构建基于网络的复杂智能CSCW系统,其中生物传感器融合包括用于情景评估,旨在进一步可靠的协作支持,从而避免误解、误听等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Web-Based Intelligent CSCW Exploiting Context-Based Reasoning
In order to make CSCW (computer supported cooperative works) more intelligent and dependable, the usefulness of contextual reasoning is discussed in this paper. To ensure the project objectives are met, a project manager (PM) maintaining control of the project plays much important roles in complex projects where interaction may be limited to a web-based collaborative tool. In such limitations, he should more strongly help avoid cost overruns, shipment delays, but most importantly, product performance including product reliability. We utilize context-based reasoning (CxBR) for implementing such control measures as typically used by competent PMs. A rocket development project is used as the domain to evaluate our technique, using NASA¿s open software for rocket design. Through the experimental evaluation, the easiness of validation and refinement of Knowledge represented by CxBR is clarified. As well, this Knowledge representation is expected to be effective even for building a web-based complex and intelligent CSCW system where biological sensor fusions are included for situational assessment to aim at the further reliable collaboration support that can avoid such as misunderstanding, mishearing, etc.
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