反馈文件质量
lgli/Z:\Bibliotik_\7\103.55.108.22\ebookspdfs-Anon_3839.pdf
Knowledge Management : Learning From Knowledge Engineering 🔍
Liebowitz, Jay CRC Press LLC, 1, PS, 2001
英语 [en] · PDF · 2.5MB · 2001 · 📘 非小说类图书 · 🚀/duxiu/lgli/lgrs/nexusstc/zlib · Save
描述
Knowledge Management (KM) is strongly rooted in the discipline of Knowledge Engineering (KE), which in turn grew partly out of the artificial intelligence field. Despite their close relationship, however, many KM specialists have failed to fully recognize the synergy or acknowledge the power that KE methodologies, techniques, and tools hold for enhancing the state of the art in Knowledge Management. Knowledge Management: Learning from Knowledge Engineering addresses this vacuum. It gives concise, practical information and insights drawn from the author's many years of experience in the fields of expert systems and Knowledge Management. Based upon research, analyses, and illustrative case studies, this is the first book to integrate the theory and practice of artificial intelligence and expert systems with the current organizational and strategic aspects of Knowledge Management. The time has come for Knowledge Management professionals to appreciate the synergy between their work and the work of their counterparts in Knowledge Engineering. Knowledge Management: Learning from Knowledge Engineering is the ideal starting point for those in KM to learn from and exploit advances in that field, and thereby advance their own.
Booknews Addresses the synergies between the disciplines of knowledge engineering and knowledge management, integrating the theory and practice of artificial intelligence and expert systems with the current organizational and strategic aspects of knowledge management. Appendices offer case studies, including a knowledge management strategy for the US Federal Communications Commission and a partial knowledge audit for the US Social Security Administration. Of interest to knowledge managers, knowledge engineers, and directors of intellectual capital, as well as students. Liebowitz teaches information systems at the University of Maryland-Baltimore County. Annotation c. Book News, Inc., Portland, OR (booknews.com)
备用文件名
lgrsnf/Z:\Bibliotik_\7\103.55.108.22\ebookspdfs-Anon_3839.pdf
备用文件名
nexusstc/Knowledge management: learning from knowledge engineering/b67d02b04e4e5582435323aac6f1509b.pdf
备用文件名
zlib/Computers/Liebowitz, Jay/Knowledge management: learning from knowledge engineering_5931297.pdf
备选作者
Jay Liebowitz
备用出版商
Auerbach Publishers, Incorporated
备用出版商
Chapman & Hall/CRC
备用版本
CRC Press (Unlimited), Boca Raton, 2001
备用版本
United States, United States of America
备用版本
Boca Raton (Florida), 2001
备用版本
March 28, 2001
元数据中的注释
lg2655489
元数据中的注释
{"edition":"1","isbns":["0849310245","9780849310249"],"last_page":139,"publisher":"CRC Press"}
备用描述
Knowledge Management (KM) is strongly rooted in the discipline of Knowledge Engineering (KE), which in turn grew partly out of the artificial intelligence field. Despite their close relationship, however, many KM specialists have failed to fully recognize the synergy or acknowledge the power that KE methodologies, techniques, and tools hold for enhancing the state of the art in Knowledge Management.
Knowledge Learning from Knowledge Engineering addresses this vacuum. It gives concise, practical information and insights drawn from the author's many years of experience in the fields of expert systems and Knowledge Management. Based upon research, analyses, and illustrative case studies, this is the first book to integrate the theory and practice of artificial intelligence and expert systems with the current organizational and strategic aspects of Knowledge Management.
The time has come for Knowledge Management professionals to appreciate the synergy between their work and the work of their counterparts in Knowledge Engineering. Knowledge Learning from Knowledge Engineering is the ideal starting point for those in KM to learn from and exploit advances in that field, and thereby advance their own.
备用描述
Knowledge Management and Knowledge Engineering: Working Together. Knowledge Mapping and Knowledge Acquisition. Knowledge Taxonomy versus Knowledge Ontology and Representation. The Knowledge Management Life Cycle versus the Knowledge Engineering Life Cycle. Knowledge-Based Systems and Knowledge Management. Intelligent Agents and Knowledge Dissemination. Knowledge Discovery and Knowledge Management. People and Culture: Lessons Learned from AI to Help Knowledge Management. Implementing Knowledge Management Strategies. Expert Systems and AI: Integral Parts of Knowledge Management. Appendix A: A Knowledge Management Strategy for the U.S. Federal Communications Commission. Appendix B: Knowledge Management Receptivity. Appendix C: Modeling the Intelligence Analysis Process for Intelligent User Agent Development. Appendix D: Planning and Scheduling in the Era of Satellite Constellation Missions: A Look Ahead. Index.
备用描述
Knowledge Management: Learning from Knowledge Engineering helps knowledge managers and those involved in knowledge management initiatives improve the current state-of-the-art in developing knowledge management systems. The book explores the need for applying knowledge engineering techniques to knowledge management. The focus is on sharing and leveraging knowledge internally and externally
备用描述
The time has come for Knowledge Management (KM) professionals to appreciate the synergy between their work and the work of their counterparts in Knowledge Engineering (KE). Knowledge Management: Learning from Knowledge Engineering is the ideal starting point for those in KM to learn from and exploit advances in that field, and thereby advance their
备用描述
The text attempts to integrate the foundation theory and practice in knowledge engineering, expert systems, and artificial intelligence with the latest thinking on organizational and strategic aspects of the emerging discipline of "knowledge management."
开源日期
2020-07-26
更多信息……

🚀 快速下载

成为会员以支持书籍、论文等的长期保存。为了感谢您对我们的支持，您将获得高速下载权益。❤️
如果您在本月捐款，您将获得双倍的快速下载次数。

🐢 低速下载

由可信的合作方提供。 更多信息请参见常见问题解答。 （可能需要验证浏览器——无限次下载！）

所有选项下载的文件都相同，应该可以安全使用。即使这样，从互联网下载文件时始终要小心。例如，确保您的设备更新及时。
显示外部下载
  • 对于大文件，我们建议使用下载管理器以防止中断。
    推荐的下载管理器：JDownloader
  • 您将需要一个电子书或 PDF 阅读器来打开文件，具体取决于文件格式。
    推荐的电子书阅读器：Anna的档案在线查看器、ReadEra和Calibre
  • 使用在线工具进行格式转换。
    推荐的转换工具：CloudConvert和PrintFriendly
  • 您可以将 PDF 和 EPUB 文件发送到您的 Kindle 或 Kobo 电子阅读器。
    推荐的工具：亚马逊的“发送到 Kindle”和djazz 的“发送到 Kobo/Kindle”
  • 支持作者和图书馆
    ✍️ 如果您喜欢这个并且能够负担得起，请考虑购买原版，或直接支持作者。
    📚 如果您当地的图书馆有这本书，请考虑在那里免费借阅。