| 1. | In order to let learners share learning data in multi - websites , web - based collaborative learning coalition is defined based on nested knowledge space model
摘要为使多个学习网站共享学习资源，提出远程协同学习网站联盟的概念。 |
| 2. | The shared knowledge space model is presented by which the learning data in multi - websites can he organized together and formed the shared knowledge space
在嵌套式知识空间模型的基础上，提出共享知识空间模型，对联盟内各网站的学习资料进行统一组织，形成共享知识空间。 |
| 3. | An ontology based genetic fusion algorithm is introduced to form a new knowledge space of solution , applying a self - adaptive mechanism of performance evaluation and refinement of parameters to promote the evolutionary process
元知识的抽取简化了知识转换的过程，基于本体库的遗传融合算法在知识内涵的层次上构建了新的解知识空间，并对解知识空间的结构演化进行了分析。 |
| 4. | In dtaif model , our research focus on the design of student model , applying knowledge space theories to form the knowledge tree of dtaif model in knowledge representation . using bayes approach , we can find the learning deficiency
在dtaif模型设计中，重点研究了学生模型的构建，并应用知识空间理论建立了dtaif模型的知识树，用知识树完成知识表示；应用贝叶斯方法进行评价诊断，找出学习的不足。 |
| 5. | Focused on the issue of knowledge sharing in organization knowledge management , a knowledge map model used knowledge space triple ( knowledge , property , relation ) as context is presented , and a concept clustering model and algorithm of knowledge map is given to build knowledge map and the hasse diagram
在概念聚类构造的知识地图中，知识按其属性自动聚类成知识节点，它描述了知识及共属性和关系，并将知识节点以偏序关系排列起来。 |
| 6. | By introducing the knowledge space concept , the dissertation argues that knowledge identification is to find the projection of knowledge on the width , depth and other knowledge structure dimensions ; different identification strategies for explicit and tacit knowledge are also offered
论文引入空间化概念，提出知识识别就是在知识的广度、深度及其它结构维度构成的知识空间坐标进行投影，给出了显性知识和隐性知识的不同识别策略。 |
| 7. | The experiments show that the learners of the websites in the coalition can access transparently the data stored in the other websites in the coalition by the nested customized knowledge space in the website they belong to , so the data in multi - websites in the coalition is shared and the different needs for learning data are met
系统运行结果表明：该模型以共享知识域为主干，较好地解决了“学习者容易迷失方向”的问题；联盟内各网站的学习者能通过定制知识空间透明地访问联盟内其他网站的资源，从而实现了资源共享，同时也满足了各网站的个性化需求。 |
