知识元

  • 网络knowledge element;knowledge unit;knowledge cell
知识元知识元
  1. 基于XML平台的知识元本体推理

    Ontology Reasoning of Knowledge Element Based on XML Platform

  2. 论中小学多媒体知识元库的建设

    To Construct K-12 Multimedia Knowledge Element Repository

  3. 基于XML平台的知识元表示与抽取研究

    Research on Representation and Extraction of Knowledge Unit Based on XML Platforms

  4. ISOPL采用基于Context的知识元结构表示问题求解的任务,使用规约推理方法进行问题求解的组织。

    In the system , knowledge representation is based on Context . and the organization of problem solving is based on RR ( Reasoning Reduction ) .

  5. 并且借助语义网中的OWL技术和本体技术为知识元的挖掘、语义集成、知识推理、知识查询提供了技术和工具。

    And it supplies technologies and tools for the mining of knowledge elements , semantic integration , knowledge reasoning and query by OWL in semantic-web and ontology technologies .

  6. 基于知识元的内容组织对数字出版的启示

    Enlightenment of Content Organization Based on Knowledge Cell to Digital Publishing

  7. 智能火-飞-推综合控制系统的知识元

    Elementary knowledge of intelligent firing flight engine integrated control systems

  8. 基于知识元的领域知识服务体系的研究与实现

    Research and Implementation on Domain Knowledge Service System Based on Knowledge Element

  9. 基于知识元的知识组织与检索

    The Knowledge Organization and Searches with the Knowledge Element

  10. 基于知识元语义网格平台的知识发现研究

    Knowledge Discovery of Semantic Grid Platform on Knowledge Element

  11. 基于知识元链接的汽车零部件知识管理系统

    Auto-parts knowledge management system based on knowledge-unit linking

  12. 其次,提出基于知识元的信息模型构建方法。

    Then , building method of information model based on knowledge unit is proposed .

  13. 现代物流知识元挖掘初探

    Discussion on Digging up Modern Logistics Knowledge Elements

  14. 基于知识元的文本知识标引

    Text Knowledge Indexing Based on Knowledge Element

  15. 在扩展特征基础上,提出了知识元特征和凝聚特征概念。

    Based on the extended feature , knowledge primitive feature and agglomerated feature are introduced .

  16. 网络化知识元数据库建设研究

    Research on Database Web of Knowledge Unit

  17. 基于知识元信息技术的中医古籍元数据研究

    Study on TCM Ancient Books ' Metadata on the Basis of Knowledge Element in Information Technology

  18. 通过知识元的中心性测度找出重要博弈节点,对其进行有目的的保护和利用。

    Through the centrality measure , it gets the important game node to protect and use .

  19. 基于创新点的知识元挖掘

    Knowledge Element Mining in Knowledge Management

  20. 通过引入知识元的混合知识表达简化了知识建模过程。

    Knowledge primitive that represents the basic knowledge form is employed to simplify the knowledge modeling process .

  21. 应用面向对象技术,将知识元对象化,实现动态的作图子系统;

    The system realizes a dynamic drawing subsystem by utilizing object-orientation technology and taking knowledge units as objects .

  22. 该领域本体模型包括e-维护知识元本体和e-维护联盟本体。

    The domain ontology model consisted of e-maintenance knowledge meta-ontology ( EMKMO ) and e-maintenance alliance ontology ( EMAO ) .

  23. 为此就要解决知识元表示与抽取正确与否的问题。

    To solve the problem , we should consider the level of knowledge units and their correct representation and extraction .

  24. 文献中包含很多知识元,如果把相关知识元链接在一起则能够形成内容广泛的知识网络。

    There are many knowledge elements in documents and if connecting all of them then may be form a knowledge web .

  25. 其次,本文以知识元这一事物本原结构为基础映射建立信息模型,克服了信息不一致问题。

    Then , the mapping method from knowledge units , primitive structure of object , to information model avoids the information dispersion .

  26. 本文的研究能够为构建知识元检索系统、进行知识服务提供一种可行思路,也为知识相关度研究或者信息检索相关性研究提供一种理论参考。

    It can provide theoretical references on the construction of KE retrieval system and knowledge service and for study of " Relevance " .

  27. 互联网上检索信息,查准率、查全率不高的主要原因是信息组织的深度仅停留在文献层次。解决的根本方法是将信息组织深入到知识元层次。

    The unsatisfactory hit rates and coverage of Internet searches are resulted from the low level of information organization at the level of documents .

  28. 此外,还研究了知识元之间的关系。第四,完成知识元标引系统的设计实现与应用研究。

    Furthermore , we take a research about the knowledge element relationship . Finally , a subject-oriented knowledge element indexing system is designed and implemented .

  29. 面对这一挑战,文章提出构建知识元语义网格平台,实现以知识元为知识单位的知识发现服务体系结构。

    Affront this challenge , the new problem of knowledge element Semantic Grid of the platform of knowledge service and knowledge discovery is the design .

  30. 实验证明,该方法可以为用户提取出文中主要的知识元描述,极大地提高知识元标引效率。

    The experiment result shows that our method can extract the main knowledge element description and improve greatly the efficiency of the knowledge element indexing .