Ontology learning technology is still in the exploratory stage.
本体学习技术的研究目前还处于探索阶段。
These tools can help us in every structure and every point of the image ontology learning.
归纳了本体学习的多种表示语言和学习工具。
This paper proposes an ontology learning model with several key steps in implementing the model.
提出一种本体学习模型，分析了模型实现中的关键步骤。
This paper suggests a different alternative algorithm of emotion ontology learning, which is FCA-based.
提出了一种基于形式概念分析的渐进式情感本体学习的算法。
This paper describes the outline of algorithm and demonstrates the ontology learning process by an example.
给出了算法的描述，并结合实例说明了本体学习过程。
This paper presents a bootstrapping-based approach for ontology learning which can be used in field words acquisition.
提出了一种基于自扩展的本体学习方法用于获取领域术语。
Ontology research is gradually becoming a hotspot in the field of computer science, and ontology learning is one of the hotspots in ontology research.
本体研究已成为计算机领域的一个研究热点，而本体学习又是本体研究的热点问题之一。
Recently, research on ontology learning is increasingly becoming more in-depth in computer science field, and based on text of ontology learning is becoming the focus of ontology learning.
近年来，本体学习的研究在计算机领域变得越来越深入，而基于文本的本体学习研究正成为本体学习研究的重点。
Ontology learning aims at the integration of a multitude of disciplines such as ontology engineering techniques and machine learning techniques to construct the ontology (semi) automatically.
本体学习技术是利用本体工程技术和机器学习技术等众多学科技术来实现本体的(半)自动构建。
Finally we select the partial semantic characteristics from the labeling sets, and form the syntax-semantics mapping structure which can be an essential factor for the later ontology learning.
本章最后我们在标注的结果中，抽取出了我们需要的部分语义特征，构造句法-语义映射结构，该结构为以后本体学习中的一个关键要素。
Multifarious relation and reasoning rule of Domain-specific Ontology provided theory elements for learning navigation of Intelligent tutoring systems.
领域本体各种关联及其推理规则为智能化教学系统实现智能学习导航提供了理论依据。
How to acquire the relation between the concepts and how to label the type of the conceptual relation are two basic problems of the ontology relation learning.
如何确定概念间语义关系的存在性和如何确定概念间的关系类型是本体关系学习的两个基本问题。
An ontology and metadata for online learning resource repository management is constructed.
构造了在线学习资源管理系统的本体和元数据。
In this paper, learning has been adopted in the realization of ontology matching.
本文是基于多策略的本体匹配的研究，主要采用了学习策略实现本体匹配。
Semantic Web; Ontology; Adaptive Learning; Learner Model; Knowledge Management; Intelligent Reasoning; Cognitive Ability; Constructivism; Semantic Distance; Semantic Similarity.
语义网；本体；自适应学习；学习者模型；知识管理；智能推理；认知能力；建构主义； 语义距离； 语义相似度。
Onyology provides a unified standard to semantically description the objective world. In the area of personalized learning, the technology of ontology was used in two aspects.
本体技术在个性化学习中的应用主要涉及两个方面，即对不同学习者的进行本体建模以及对于资源的语义描述和组织分类。
Onyology provides a unified standard to semantically description the objective world. In the area of personalized learning, the technology of ontology was used in two aspects.
本体技术在个性化学习中的应用主要涉及两个方面，即对不同学习者的进行本体建模以及对于资源的语义描述和组织分类。
应用推荐