The framework comprises application layer, semantic layer, and storage layer.
该框架分为应用层、语义层和存储层。
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；
Evri is a search engine, though it adds a very sophisticated semantic layer on top of its results that emphasizes the relationships between different search terms.
Evri是个搜索引擎，然而，它在搜索结果上面增加了一种很复杂的语义层。搜索结果重点强调了不同搜索条目间的关系。
MSFRP realizes multimedia data retrieving from character layer to semantic layer and supports sophisticated inquiry application of multimedia database efficiently.
MSFRP实现从特征层到语义层的多媒体数据检索，有效支持多媒体数据库的复杂查询应用。
The rhythmic beauty of languages is made up of acoustic beauty in phonetic layer, image beauty in imagery layer and beauty of emotional movement in semantic layer.
语言的节奏美由语音层的音响美、意象层的画面美、语意层的情感运动美构成。
The Semantic/logical services layer describes a general purpose business model that defines different kinds of business entities.
语义/逻辑服务层描述一个通用业务模型，该模型定义不同种类的业务实体。
The data access layer provides a semantic data store, a user profile, and the rules database.
数据访问层提供了一种语义数据存储、一个用户个人文件以及规则数据库。
Other parts of the integration layer must manipulate the semantics if the existing providers are unable to satisfy the demands of the semantic characteristics of the service specifications.
如果现有的提供者无法满足服务规范的语义特征的要求，集成层的其他部分必须操纵语义特征。
The data manipulation services (in the lower layer) extract data from the physical repositories, and semantic services turn this data into information.
数据操作服务(在下方的层中)从物理存储库中提取数据，并且语义服务将该数据转换为信息。
The compiler layer contains the object models that correspond with information exposed at each phase of the compiler pipeline, both syntactic and semantic.
编译器层中包含了一些对象模型，这些模型与编译器管道的各个阶段暴露出来的信息——包括句法和语义上的信息——相关。
Linked data, semantic analysis, analytics and data mining all form a layer on top of the content-web that could serve as the foundation for the next series of applications and other added value.
关联数据、语义分析、分析数据挖掘，这些都可以作为下一代网络产品和其它附加值的基础。
Semantic Web services (SWS) can be considered an integration layer on top of Web services; they use ontologies as data model and they have a rich conceptual model.
语义Web服务(SWS)可看作是Web服务之上的集成层；它们使用本体作为数据模型并且拥有丰富的概念模型。
Semantic Web technologies can be considered in terms of layers, each layer resting on and extending the functionality of the layers beneath it.
可以从多个层次考虑语义Web技术，每一层都依赖和扩展其下面层次的功能。
Semantic technologies provide an abstraction layer above existing IT technologies, one that enables the bridging and interconnection of data, content, and processes across business and IT silos.
Semantic技术在现有的IT技术之上提供了一层抽象，它跨越业务和IT仓库在数据、内容和过程之间架设了一座桥梁，使其可以相互连接在一起。
Thus in EAI, "integration" includes both semantic and non-semantic actions, and an "integration layer" can perform both.
因此，在EAI中“集成”包括语义和非语义操作，“集成层”可以执行这两类操作。
In SOA, as in mature EAI, separation of concerns is key, and thus an "integration layer" in SOA might perform both semantic and non-semantic actions, but must keep them separate architecturally.
与成熟的EAI一样，在SOA中关注点隔离是关键，因此soa中的“集成层”可以执行语义和非语义这两类操作，但是必须在架构层面上把它们隔离开。
The provider creation layer can contain business-owned semantic logic and both types of non-semantic logic.
提供者创建层可以包含业务拥有的语义逻辑和两类非语义逻辑。
Mediation in the service exposure layer can contain only non-semantic logic.
服务公开层中的中介只能包含非语义逻辑。
We further showed the service exposure layer can contain only non-semantic logic, but that includes business-owned non-semantic logic, thus allowing business logic in the service bus (ESB).
服务公开层只能包含非语义逻辑，但是其中包括业务拥有的非语义逻辑，因此在服务总线(esb)中可以有业务逻辑。
A less obvious type is business-owned, non-semantic logic, which exists in the provider creation sub-layer and in the service exposure layer.
不太显而易见的逻辑类型是业务拥有的非语义逻辑，它们存在于提供者创建子层和服务公开子层中。
It is obvious that business-owned semantic logic exists in the provider creation sub-layer.
显然，业务拥有的语义逻辑存在于提供者创建子层中。
The bottom layer of the semantic inference framework extracts low level features at the frame level with a semantic clip segmentation algorithm based on the acceleration of the global motion.
在最底层，提取视频特征，并提出一种视频语义片段自动分割算法；
The semantic processing techniques of video based on pattern classification are explored for sports videos from multi-layer and multi-aspect(, which are detailed as follows).
以体育视频为主要研究对象，对基于模式分类的视频语义处理技术进行了研究，主要包括。
Grouping rules can be easily defined in the irregular grouping layer. To design a report, the user simply drags and drops semantic elements or grouping names.
在不规则分组层，用户可以自由定义分组规则，利用这些分组规则设计报表时，只需拖拽分组名称即可。
The experiment demonstrates the process of acquire high-layer semantic information automatically, at last, it shows the result of description model implementation.
本文实验详细的阐述了自动获取高层语义信息的过程，实验最后给出了描述模型实现的结果。
The experiment demonstrates the process of acquire high-layer semantic information automatically, at last, it shows the result of description model implementation.
本文实验详细的阐述了自动获取高层语义信息的过程，实验最后给出了描述模型实现的结果。
应用推荐