The semantic layer mainly implements functions of semantic query, semantic analysis and semantic reasoning.
在该框架的基础上，对语义查询机制进行了分析；
This paper presents semantic reasoning based on UDDI Web Service registry model and this method is applied in E-Business Credit evaluating services.
论文在对UD鄄DI服务发现基本模型的研究基础上加入了语义推理，并运用到电子商务信用评估服务发现中。
At this point you have a working application and the framework in place so that the system can use semantic reasoning to understand the services at its disposal.
这时候已经有了一个能够工作的应用程序和框架，系统能够运用语义推理来理解它配置的服务。
At this point, you have a working application and the framework in place so that the system can use semantic reasoning to understand the services at its disposal.
这时候已经有了一个能够工作的应用程序和框架，系统能够运用语义推理来理解它配置的服务。
The citation network lacks the semantics and can not be reasoned. To research the semantic representation of the citation networks and semantic reasoning we need that.
引文网络缺乏语义而且不能进行推理，但是对引文网络的语义表示和语义推理的研究却不多。
If the knowledge base and the semantic reasoning function can be added to managed objects, the needed information will be delivered to network management system accurately.
如果在被管对象内部增加知识库和语义推理功能，就可以使其更准确、高效地汇报给网管系统所需信息。
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。
Semantic modeling technologies, such as RDF, can help ease the problem of automatic reasoning between different data sets, provided that it is built-in to the data-store.
语义建模技术，例如RDF，可以帮助简化对不同数据集之间自动进行推理所面临的问题，这些数据集是内嵌在数据存储介质中的。
The six standard tests measured memory, reasoning, vocabulary, phonemic fluency, semantic fluency and global cognitive status.
他们进行的六项标准测试如下：记忆测试、推理测试、词汇测试、语义、音韵流畅性测试和全球认知测试。
Semantic technologies represent meaning using ontologies and provide reasoning through the relationships, rules, logic, and conditions represented in those ontologies.
语义技术用存在论(ontology)表示意义，并通过这些存在论中表示的关系、规则、逻辑和条件来提供推理。
The Semantic Web has the goal of creating Web infrastructure that augments data with metadata to give it meaning, thus making it suitable for automation, integration, reasoning, and re-use.
语义web的目标是创建Web基础设施，使用元数据对数据进行增强，从而使数据变得有意义，最终使数据变得适合进行自动化、集成、推理和重用。
Near the top of the Semantic Web stack one finds inference - reasoning over data through rules.
在语义网络的接近顶层，人们可以发现推理—通过规则的对数据的推理。
Machine learning and data mining techniques are applied to acquire knowledge and build a concept reasoning network based on semantic dictionary and large training set.
在已有的英语语义词典及大量训练集的基础上，应用机器学习、数据挖掘等技术进行知识获取并最终形成若干个概念推理网。
Within this model, semantic analyses are discussed for axioms of the formal reasoning system in modal logic.
其目的就是要在这种模型中，对模态逻辑形式推理系统的公理进行语义分析。
The definitions of syntax structure, semantic interpretation, knowledge base form and reasoning problems based on satisfiability are given for the extended fuzzy description logic.
定义了扩展模糊描述逻辑的语法结构、语义解释、知识库形式以及基于可满足性的推理问题。
The default rule representation provides a concise syntactic and semantic formalism for potential causal relations to be used in causal reasoning models such as predicting, explaining and diagnosing.
因果关系的默认规则表达为潜在的因果关系提供了一个简洁的语法与语义形式化工具，使得因果关系能够应用在因果推理模型中，比如预浙江大学博士学位论文。
Objective: To study the effect of semantic structure teaching on promoting medical students 'clinical reasoning by applying semantic structure theory in psychiatric teaching.
目的：将语义结构理论应用于精神病学教学，研究语义结构理论教学法对培养医学生临床推理能力的作用。
The key reasoning tasks of the semantic Web can be reduced to deciding the satisfiability of formulas.
语义网的关键推理问题可以化为公式的可满足性判定问题。
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。
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。
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。
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。
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。
Research and Implementation of RDF Knowledge Reasoning based on Concept Semantic Network Graph;
提出了一种符合图形界面下建立通用电网模型的知识推理方法。
Research and Implementation of RDF Knowledge Reasoning based on Concept Semantic Network Graph;
提出了一种符合图形界面下建立通用电网模型的知识推理方法。
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