semantic matching
英 [sɪˈmæntɪk ˈmætʃɪŋ]
美 [sɪˈmæntɪk ˈmætʃɪŋ]
网络 语义匹配; 语意部份比对
双语例句
- To improve the speed and correctness of Web service matching for services composition process, a semantic matching mechanism is proposed with the help of services indexes.
为提高服务组合中服务匹配速度和正确率，提出了基于服务索引的服务语义匹配机制。 - Semantic Matching Algorithm Based on Namespace Filtration
一种基于命名空间过滤的服务语义匹配算法 - The Study and Implementation of Semantic Matching Algorithms in Semantic Web Serivces
语义Web服务语义匹配算法的研究与实现 - We call this procession Semantic Matching Mechanism.
我们把句子的这种理解机制称为语义匹配机制。 - Semantic Matching Method Based on Ontology for Grid Services
基于本体的网格服务语义匹配方法 - A Sememe Based Semantic Matching of Web Information Item
一种基于义素的网页信息项语义匹配方法研究 - Having compared the approaches in and out of our country, we propose a multi-strategy approach for heterogeneous data semantic matching.
本文通过比较国内外研究方法的优点与不足，提出了一种面向企业异构数据集成的多策略语义匹配方法。 - It imitates the influence procedure between neurons to realize the semantic matching reasoning.
它借鉴神经网络元间影响作用过程实现语义匹配推理； - Besides service description, Service matchmaking is another important problem in service discovery. We introduced a semantic matching algorithm according to the ontology.
服务描述与服务匹配是普适环境中服务发现的两个主要方面，在已建立的用于服务描述的本体基础上，论文提出了服务发现的语义匹配算法。 - In order to implement knowledge retrieval based on semantic matching in the P2P data managements, a two-layer framework for semantic overlay P2P info-sharing system is put forward by separating the semantic supported layer from the P2P basic layer.
为了在对等数据管理中实现基于语义匹配的知识检索，文章通过分离对等基础层和语义支持层，提出了一个实现语义覆盖对等信息共享系统的两层框架。 - It realizes the sequential and parallel service composition through the semantic matching.
该机制在Web服务语义标识的启发下通过语义匹配算法能够实现Web服务的顺序复合和并行复合。 - Comparing to the reasoning mechanism in concept language and description logic, A~ ( H) improves the efficiency of semantic matching between agent capabilities.
相比于概念语言和描述逻辑中的推理机制，A~H提高了主体能力语义匹配的效率。 - To solve this problem, if we introduce the semantic Web technology into Web services, when using this service, we could use semantic reasoning semantic matching of Web services.
针对这一问题，如果将语义网技术运用到Web服务中来，使Web服务具有语义信息，那么在进行服务查询时就可以利用语义推理对Web服务进行语义匹配。 - The abstractive content based retrieve experiments were made by the semantic matching procedure in constructed semantic network.
通过构造语义网络的方法和在语义网络上的语义匹配过程，进行了使用抽象信息层次信息实现检索的实验。 - In the method, firstly, we execute semantic matching of inputs, outputs, preconditions and effects separately. And then, we compute weighted overall similarity of service functional matching. This method can realize semantic matching based on service functional information.
首先，对服务输入、输出、前提条件和效果等功能参数分别进行语义相似度匹配，然后，再计算出服务功能匹配的加权全局相似度，从而实现了服务功能的语义匹配。 - Through analyzing deficiency of discovery basic algorithm on semantic web services and designing semantic ontology, it studies service matching algorithm on semantic Web Services based on definition and calculation on semantic matching degree.
分析了Web服务发现面临的问题和语义Web服务发现基本算法的不足，进行了语义本体的设计，通过实例研究服务注册机制，并基于语义匹配度的定义和计算深入研究了语义Web服务匹配算法。 - Our research involves the foundation of machine dictionary, the design of rule stack, the application and revision of current semantic clarifying system, the store form of language knowledge in database and the relation in all kinds of semantic matching.
本文的研究工作包括规范化词典和规则库的建立，受限规则的设计，现有语义分类体系的应用、细化、补充与适应性修改，语言知识在数据库中的存储形式，语义的搭配关系等。 - Semantic mapping models and semantic matching strategies of three kinds of user information queries are designed, such as the precise query, the fuzzy query and preference query.
设计了精确查询、模糊查询及偏好查询三类用户语义查询的语义映射与语义匹配策略。 - In the discovery phase, it proposes based on Input/ Output semantic matching service discovery algorithm.
在发现阶段，提出了一种基于Input/Output语义匹配的服务类动态发现算法。 - This article presents a music recommendation method based on cross-media semantic matching.
本文提出基于跨媒体语义匹配模型的相册背景音乐推荐方法，旨在解决为相册推荐符合情境的背景音乐问题。 - Algorithm based on keywords matching and semantic matching for service discovery is designed, then the correctness and feasibility of the algorithm is verified through an example, the execution process of the algorithm is also be illustrated.
设计了一个基于关键字匹配和语义匹配的服务发现算法，通过实例验证了服务发现算法的可行性，并说明了算法的执行过程。 - This article focuses on analysis and research of the personalized information retrieval, semantic matching algorithms, query expansion mechanism, the user modeling, and log mining strategy.
本文重点分析研究了个性化信息检索的语义匹配算法，查询扩展机制，用户模型构建，日志挖掘策略。 - The metamodels of the source modeling language and the target modeling language are abstracted from this framework, and the shared model reference ontology and the mapping method from the metamodel to the reference ontology were founded, which are the basis of the semantic matching reason of concept.
在该框架中要抽象出源建模语言和目标建模语言的元模型，并建立共享的模型参考本体及元模型到参考本体的语义标注，作为概念语义匹配推理的基础。 - The three layered matching which is ontology matching, based on keyword matching and semantic matching between service advertisements and service requests by logical reasoning is proposed in this paper.
在Web服务发现中加入了本体相似性，提出了本体匹配、基于关键字的匹配、基于语义的逻辑推理的三个层次匹配。 - Finally, associate the ontology and data source, studies the mapping relationship between the two, and laid the foundation for the later data exchange semantic matching. ( 3) Research on multi-source heterogeneous geological prospecting data integration model.
最后将本体与数据源进行关联，研究了西者的映射关系，为后文数据交换中的语义匹配奠定了基础。（3）研究了多源异构地质勘查数据集成模型。 - Through semantic reasoning, semantic mapping and semantic matching, query services with high satisfaction are provided to the users.
通过语义推理、语义映射和语义匹配，为用户提供满意度高的服务。 - The logistics domain ontology and logistics service ontology based on existing semantic web service standard are the foundation of semantic matching of logistics information.
利用本体技术和语义Web服务构建的物流领域本体和物流服务本体是实现物流信息语义匹配的基础。 - At present, information retrieval technology can be divided into three types: text retrieval and data retrieval and semantic retrieval, the semantic retrieval is based on knowledge and semantic matching, therefore it ensured recall and precision of information searching.
目前，信息检索技术可分为3类：全文检索，数据检索和语义检索。其中，语义检索强调的是基于知识的、语义上的匹配，因此，在查准率和查全率上有更好的保证。 - However, traditional information retrieval techniques is mainly based on string matching keyword search technology, the ability to support poor semantic matching, information retrieval recall rate and precision rate far from satisfactory.
但传统的信息检索技术主要是基于字符串匹配的关键字检索技术，对语义匹配的支持能力较差，信息检索的查全率和查准率难以令人满意。 - Specific including: ( 1) Describe the context modeling solution based on semantic matching in detail.
具体包括：（1）对基于语义匹配的上下文建模方式进行了详细的阐述。