适应性知识管理中的生物激励分布式设计
Biologically Motivated Distributed Designs for Adaptive Knowledge Management
摘要：
我们讨论了如何分布式设计，从生物网络隐喻可以大大提高信息检索和分布式信息系统的知识管理的现状。特别是，两个自适应推荐系统TalkMine和@ApWeb进行了更详细的讨论。TalkMine在关键字的语义层面上运行。它导致不同的数据库学习新的和适应现有的关键字的类别识别其社区的用户使用分布式算法。@ApWeb在信息资源的结构层面上运行，即引用或超链接结构。它依赖于集体行为来使这种结构适应用户的期望。TalkMine和@ApWeb目前正在积极推荐项目下为洛斯阿拉莫斯国家实验室的研究图书馆实施。它们一起定义了一个生物学动机的信息检索系统，同时推荐在关键字中表达的用户知识类别的水平，并在单个文档及其与其他文档的关联的水平。与被动的信息检索不同，使用该系统，用户获得与信息资源的主动的、演进的交互。
英文摘要：
We discuss how distributed designs that draw from biological network metaphors can largely improve the current state of information retrieval and knowledge management of distributed information systems. In particular, two adaptive recommendation systems named TalkMine and @ApWeb are discussed in more detail. TalkMine operates at the semantic level of keywords. It leads different databases to learn new and adapt existing keywords to the categories recognized by its communities of users using distributed algorithms. @ApWeb operates at the structural level of information resources, namely citation or hyperlink structure. It relies on collective behavior to adapt such structure to the expectations of users. TalkMine and @ApWeb are currently being implemented for the research library of the Los Alamos National Laboratory under the Active Recommendation Project. Together they define a biologically motivated information retrieval system, recommending simultaneously at the level of user knowledge categories expressed in keywords, and at the level of individual documents and their associations to other documents. Rather than passive information retrieval, with this system, users obtain an active, evolving interaction with information resources.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
