GNOSIS: Towards Automated Knowledge Management

Ankur Gupta, Purnendu Prabhat, Rishi Gupta, Suhail Gulzar, D. Kumari
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Abstract

Knowledge management is a critical component for the next-generation learning organizations, which can assimilate, comprehend and utilize the rapidly changing knowledge landscape and ensure value creation for their customers. The core challenge for devising effective knowledge management strategy for any organization is to ensure that each individual stakeholder receives high-quality and customized information. This paper proposes a cloud-based system for facilitating knowledge enhancement of individuals by automatically collating information from credible sources and delivering them in a personalized manner to the end user. High quality content inputs are provided through automated web-based mashup tools and human domain experts to a cloud-based knowledge management system, which distributes domain/skill specific content streams to registered individuals via mobile devices and social media platforms. The collated content is classified and delivered to users based on their interests and preferences and auto-curated based upon the responses of end-user and the larger community. Early results from the implementation of Gnosis in an academic setting are presented.
GNOSIS:迈向自动化知识管理
知识管理是下一代学习型组织的重要组成部分,它可以吸收、理解和利用快速变化的知识景观,并确保为客户创造价值。为任何组织设计有效的知识管理策略的核心挑战是确保每个利益相关者收到高质量和定制的信息。本文提出了一种基于云的系统,通过自动整理来自可靠来源的信息并以个性化的方式将其传递给最终用户,从而促进个人知识的增强。高质量的内容输入通过基于web的自动化混搭工具和人工领域专家提供给基于云的知识管理系统,该系统通过移动设备和社交媒体平台将特定领域/技能的内容流分发给注册的个人。整理后的内容根据用户的兴趣和偏好进行分类并交付给用户,并根据最终用户和更大社区的响应进行自动管理。介绍了在学术环境中实施Gnosis的早期结果。
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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