The key task of ontology reasoning is to analyze semantic relationships and to define, formalize and optimize reasoning rules.
本体知识推理的关键任务是分析语义关系、定义和形式化推理规则并对其优化。
This ontology description languages and description logic had combined together, which ensured the ontology reasoning rationality and validity.
本体表示语言与描述逻辑相结合，为本体推理的合理性和有效性提供了保证。
The model can carry out the ontology reasoning. And the experimental results show that information retrieval efficiency to a certain extent is improved.
实验结果表明，该模型能够进行本体的语义推理，在一定程度上增强信息检索系统的语义处理能力，检索效率得到了改善。
At last, the comparison of current definition language and ontology language is given and the reasoning process of the ontology reasoning system is discussed.
本文最后对现有描述语言和本体语言进行了比较，并研究了本体推理机的推导过程。
We introduce a new conceptual framework, semantic graph mining, to enable researchers to integrate graph mining with ontology reasoning in network data analysis.
我们介绍了一种新的概念化框架，语义图像挖掘，使得研究者能够在网络数据分析中将图像挖掘和本体论推论结合起来。
The authors mainly discussed OVSR's ontology structure, video semantic model and indexing model, and studied the user's searching rewriting algorithm and ontology reasoning algorithm.
主要论述OVSR的本体架构，视频语义模型和索引模型，研究OVSR的查询重写算法以及本体推理算法。
It is also for readers who want to understand some of the reasoning options made available by the Web Ontology Language (OWL).
也适用于希望了解Web本体语言(owl)所提供的一些推理方法的读者。
How to add information to the ontology to enable reasoning?
如何向本体中添加信息来实现推理？
A business ontology is a formal specification of business concepts and their interrelationships that facilitates machine reasoning and inference.
业务ontology已经成为业务概念及其关系的一种正式规范，它们可以简化机器推理的过程。
Finally, I'll demonstrate how Jena's reasoning capabilities can be used to infer knowledge about models from an ontology.
最后，我将说明如何使用Jena的推理能力从本体推断模型知识。
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。
In the mean time, we integrate current ontology repository management, manual evolution tool, semantic search and semantic reasoning to form a complete ontology evolution management tool.
同时整合现有的本体库管理，手动本体进化工具，语义搜索和语义推理等软件，形成了完整的本体进化管理工具。
It introduces the concept models of the antique domain ontology, involving the analysis, reasoning, design and implementation of OWL-based domain ontology for antique.
介绍了文物领域本体的概念模型，研究了用owl语言建立文物领域本体的设计与实现方法。给出了对OWL本体进行解析和推理的方法。
Cell Cycle Ontology is enabled by semantic web technologies, and is accessible via the web for browsing, visualizing, advanced querying, and computational reasoning.
细胞周期本体论通过语义网技术成为可能，并可以通过网络访问用于浏览、可视化、高级查询及计算推理。
That means a whole ontology knowledge base needs to be able to support the reasoning based on rules.
一个完整的本体知识库的推理机制必须能够支持这种基于规则的推理。
We could begin reasoning about what menu items in our food ontology this wine might accompany.
我们不妨先开始推理果酒将会与食物本体中的什么菜单项相伴。
Thirdly, we define the representation of the user interest preferences and build the user interest preferences for every user in the system based on the ontology query and reasoning capability.
再次，建立用户兴趣偏好表示形式，并基于本体的查询与推理处理能力构建系统各用户的用户兴趣偏好。
The proposed module extraction method is capable of identifying relevant axioms in an ontology based on the notion of boundaries of symbols, with respect to a given reasoning task.
模块化是优化本体推理的一种有效手段，提出了一种针对推理的模块提取方法，该方法通过分析符号解释域的边界与公理之间的关系计算出基于边界的模块。
Features of this model are discussed in details to apply to the construction of the ontology and the ontology-based reasoning systems.
进一步研究了模型的性质使其有效地应用于本体和基于本体的推理系统的构建。
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。
And we use TRIPLE as an ontology language to set up the domain ontology model, which can be transformed to RDF easily, and has the powerful reasoning capability.
该模型采用TRIPLE语言实现，它能够方便地与RDF进行转换，并具有较强的推理能力。
And we use TRIPLE as an ontology language to set up the domain ontology model, which can be transformed to RDF easily, and has the powerful reasoning capability.
该模型采用TRIPLE语言实现，它能够方便地与RDF进行转换，并具有较强的推理能力。
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