In experiments 1 and 2 , disyllabic compound words that shared the same segmental templates but differed in lexical tones ( e . g . , tiao4 yue4 , jump vs . tiao2 yue1 , treaty ; numbers denote tone types ) were used as auditory primes while words that were semantically related to one of the pairs were visually presented for lexical decision 实验一和二使用具有相同音段信息、但不同声调信息的双音节合成词（如“条约”和“跳跃” ）作为听觉启动词，与其中一个词有语义关系的双字词作为视觉探测词。
In the thesis , by the object - oriented method , we study and explore deeply the data model of spatial object , the definition and expretion of semantics , the basic relaionship among objects , the basic spatial operation and topology structure , the orgazization of geographic data , the storage of data and the spatial index 本论文采用面向对象方法，对gis中空间对象的数据模型、语义定义和表示、对象间的基本语义关系、对象的基本空间操作及拓扑结构、地理数据的组织、数据的存储和空间索引等方面进行了较全面的探索和研究，并在此基础上，提出了面向对象gis的整体概略框架。
Abstract with the problem existing in the current knowledge organization , modular ontology is introduced to knowledge organization , and a method of open knowledge organization ( onto - ko ) is put forward , and open knowledge organization structure , its organization principle , semantics relations between ontology modules , and arithmetic are analyzed 摘要针对目前知识组织中存在的问题，将模块化本体引入到知识组织中，提出一个开放的知识组织方法,并分析开放知识组织结构、基本原则、本体模块间语义关系及知识组织算法等。
To solve this problem of above , this paper regards field ontology as the foundation of semantic understanding . ontology is a kind of modal that is used to describe the concepts and the relations of them . field ontology is a kind of ontology 本体( ontology )是一种用来描述概念以及概念和概念之间关系的模型,领域本体是本体的一种,它包含该领域的比较完整的知识和丰富的语义关系,把这些资源通过一种方法应用到企业流程诊断系统中,使得一定程度上解决目前诊断系统中语义的理解不足的问题成为可能。
Adopting synchronic , on the clue of several characteristic points of the verbs , the grammatical and semantic relation , the author investigates the situations of the " kan " in modern chinese language respectively : from the solid righteousness verb " kan " , then the half solid " kan " , to the tone phrase " kan " 摘要用共时研究的方法，以动词的几个典型语法特征为参照点，着眼于“看”后成分的特性以及二者之间的语法、语义关系，逐一考察“其”在现代汉语中的语法化现状：由实义动词“看”到半实半虚的“看” ，再到语气词“看” 。
Different from other researches , autoore uses the proposed java semantic model as input data , and gives a tree - liked , hierarchical structured and semantic cluster set . the clustering method is based on a minimum spanning tree that represents the software system . the clustering objective function is designed according to the software modularization metric and cognition psychology theory 抽象是autoore的核心，它首次采用对象系统的语义关系抽取数据为输入，利用基于mst表示的、聚集目标结合了程序认知心理学理论的软件聚集方法，得到一个具有丰富语义的、组织为树状的、分层的聚集集合。
In this dissertation , we use a feature matrix and a semantic relevance matrix which is established by long - term learning the log of the feedback offered by users , then optimize the semantic relevance matrix , and finally , combine the lower - feature matrix and semantic relevance matrix to retrieve images . this approach achieves the estimation of the similarity between 对于某些特殊情况,仅仅依靠修改特征相似度不能起到很明显的效果,由此本文引入了语义关系矩阵,先通过对反馈日志的长期学习建立语义关系矩阵,之后再对语义关系矩阵进行优化,实现了同时被标注为负反馈的图像之间相似度的估计。
On the aspect of data model , based on improving and extending the gdf data model , the data model of sde was put forwad . the data model can express multi - section data and semantic relations between different feature layers . it support segment attributions , so can express a segmental attribution of a line feature 在数据模型方面，在gdf数据模型的基础上进行了改进和扩充，提出了sde的数据模型，该模型具有多图幅数据连续性表达、能表达不同层要素之间语义关系、支持段属性，能够表达线要素属性上某一段属性、支持多媒体数据类型等优点，并对数据库中矢量数据的存放方式作了比较实验。
In order to calculate the semantic coupling effectively , the edge counting method is revisited for measuring basic semanticsimilarity by considering the weighting attributes from where theyaffect an edge s strength . the attributes of scaling depth effect , semantic relation type , and virtual connection for the edge counting areconsidered . furthermore , how the proposed edge counting method could bewell adapted for calculating context - based similarity is showed . thorough experimental results are provided for both edge counting andcontext - based similarity 为有效地计算语义耦合值，我们对度量语义基本相似度的边计算edge counting方法进行了修改，采用加权的属性值来修正连接两个概念之间的边的强度所考虑的属性包括：缩放深度效果scaling depth effect语义关系类型semantic relation type虚拟连接virtual connection等。
The ambiguity of automatic indexing has been decreased for special stop - words to be got pretreatment . the time of automatic matching has been shortened by shortest word pushing method . so maximum matching ( mm ) algorithm of automatic indexing has been improved in specifically application field 2 .提出并构建了k一s一c主题概念的语义关系，进而运用于xmarc文本的自动标引，通过预处理特义禁用词以减少分词歧义性，采用短词推进抽词方法以缩短标引时间，改进了传统的mm ( maximummatching最大匹配)自动标引算法。
