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Jingdong book

开放知识系统中的知识可拓优化与服务

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开放知识系统中的知识可拓优化与服务

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《开放知识系统中的知识可拓优化与服务》由用户主导开放知识系统中,知识创造与共享活动空前活跃,知识急剧丰富但知识质量并不稳定和可靠,使得知识组织维护困难且知识服务效率与效果不佳。《开放知识系统中的知识可拓优化与服务》在系统认识和理解开放知识系统基础上,为解决开放知识系统所面临的矛盾和挑战个,从系统和全局角度出发,引入优化环节,提出了优化与服务相结合的思路,以可拓学为主要理论和方法,系统论述开放知识系统中知识可拓优化与服务方法。
Catalogue

前言
第1章 绪论
1.1 知识及其分类
1.2 知识系统
1.3 开放知识系统
1.4 本章小结

第2章 开放知识系统的特性研究
2.1 维基系统与知识协同
2.2 维基系统的知识协同与共享特性研究
2.3 社会化标注系统与知识组织
2.4 社会化标注系统的知识组织与共享特性研究
2.5 本章小结

第3章 集成优化过程的可拓知识服务
3.1 知识服务概述
3.2 集成优化过程的可拓知识服务模式
3.3 优化过程与服务过程的集成原理
3.4 集成优化过程的可拓知识服务优化模型
3.5 集成优化过程的可拓知识服务技术体系
3.6 本章小结

第4章 知识可拓优化技术
4.1 知识可拓自分类优化技术
4.2 知识可拓自聚类优化技术
4.3 知识可拓自识别优化技术
4.4 本章小结

第5章 情境感知的用户知识需求获取技术
5.1 情境感知的用户知识需求获取方法的提出
5.2 情境及其特点
5.3 情境建模技术
5.4 情境感知获取技术
5.5 情境感知的用户知识需求集构建技术
5.6 本章小结

第6章 集成优化过程的知识发现评价技术
6.1 集成优化过程的知识匹配发现技术
6.2 知识可拓优度评价技术
6.3 可拓知识服务方式
6.4 本章小结

第7章 开放知识系统及其可拓优化与服务应用
7.1 集成优化过程的可拓知识服务系统框架
7.2 知识可拓模型在复杂产品设计知识集成中的应用
7.3 知识可拓优化在企业知识服务中的应用
7.4 情境感知的知识需求获取方法在知识服务中的应用
7.5 聚合Web2.0和云计算的知识社区系统
7.6 本章小结
参考文献
Book Abstract

《开放知识系统中的知识可拓优化与服务》:
1.开放知识系统实现知识服务的主要挑战
开放知识系统的知识服务面临着人本化知识服务与大数据化知识之间、人本化知识服务与个性化用户知识需求,以及人本化知识服务内部个性化、高质量和有效率之间的一系列矛盾问题,因此要在大数据化的知识和个性化的用户知识需求情况下,实现开放知识系统的人本化知识服务面临着巨大的挑战。如前所述,知识服务的实现涉及知识、用户和服务过程三方面的任务,那么就有必要从这三个方面来分析开放知识系统中实现人本化知识服务具体的困难和问题在什么地方。
(1)从知识相关的任务来看。在开放知识系统中,由于广大用户主动地贡献提供知识,使得知识呈现出数量大、增长快、多样复杂和质量不稳定、不可靠等大数据化特点,具体表现为:开放知识系统中知识急剧无限制增长,垃圾知识大量涌现,知识的可信度和可靠性急剧降低,最终使得知识不能有序的、自优化的演化与增长。知识自身问题是知识系统的源头问题(李兴森和张玲玲,2008),而知识既是知识服务的基础也是知识服务的具体内容,若没有质量稳定可靠的知识,开放知识系统的知识服务将很难发挥出其应有的作用。因此,要实现开放知识系统中人本化的知识服务,就要对开放知识系统中大数据化的知识进行有效组织管理,使得其能够有序的、自组织、自优化的演化与增长,这成为开放知识系统人本化知识服务实现首先需要面对和解决的第一个问题。
……

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