Query through heterogeneous ontologies using association matrix

This paper introduces the definition and calculation of the association matrix between ontologies, h uses the association matrix to describe the relations between concepls ill different ontologics and uses concept vectors to represent queries; then computes the vectors with the association matrix in order to rewrite queries, This paper proposes a simple method of querying through heterogeneous Ontology using association matrix. This method is based on the correctness of approximate information filtering theory; and it is simple to be implemented and expected to run quite fast.     

Integrated semantic similarity model based on ontology

To solve the problem of the inadequacy of semantic processing in the intelligent question answering system. an integrated semantic similarity model which calculates the semantic similarity using the geometric distance and informarion content is presented in this paper. With the help of interrelationship between concepts, the information content ofconcepts and the strength of the edges in the ontology network. we can calculate the semantic similarity between two concepts and provide information for the further calculation of the semantic similarity between user‘s question and answers in knowlegdge base. The results of the experiments on the prototype have shown that the semantic problem in natural language processing can also be solved with the help of the knowledge and the abundant semantic information in ontology. More than 90% accuracy with less than 50 ms average searching time in the intelligent question answering prototype system based on ontology has been reached. The result is vety satisfied.     

可重构装配线多agent系统中的本体研究

提供多agent制造平台agent之间通讯所需的机器可理解的通讯内容语言，是构建多agent制造平台的重要内容。分析与总结出可重构装配线多agent平台对其本体模型存在提供装配制造知识及支持重构过程两方面需求，并因此将本体模型划分为通用本体与重构本体两部分．以某汽车变速器可重构装配生产线为背景，研究该环境下的具体本体建模技术。在设计了描述装配线制造知识与制造机理的通用本体基础上，通过分析可重构装配线多agent平台的重构机理，定义了由具有装配行为特征的重构动作原语组成的重构本体．构建的本体模型已应用于重构装配线多agent平台的开发。     

煤矿复杂多源数据的混合相似性度量方法

随着煤矿产业自动化、电子化和信息化的发展,目前已有的数据描述方式不能有效刻画煤矿中多源、多维、动态的海量数据信息.针对该问题,首先将源于哲学范畴中的本体引入煤矿生产领域,以矿区监测位置本体作为语义模型与数值描述相结合,形成树状层次结构来描述煤矿复杂多源数据;然后,通过基于语义和数值的混合相似性度量方法计算煤矿数据的相似度;最后通过实验验证了本文所述方法的可行性和有效性.     

基于语义Web的知识管理系统的研究

知识管理是现代企业关注的热点,随着知识经济时代的来临,企业将主要通过知识而不是金融资本或自然资源来获取竞争优势.但是由于传统的知识管理系统都是通过关键字匹配来获取知识,这个会造成获取信息的不准确.本文将从知识管理的需求分析出发,给出了一种新的基于语义Web的知识管理系统的体系结构,并进行阐述.     

煤矿复杂多源数据的混合相似性度量方法

随着煤矿产业自动化、电子化和信息化的发展，目前已有的数据描述方式不能有效刻画煤矿中多源、多维、动态的海量数据信息．针对该问题，首先将源于哲学范畴中的本体引入煤矿生产领域，以矿区监测位置本体作为语义模型与数值描述相结合，形成树状层次结构来描述煤矿复杂多源数据；然后，通过基于语义和数值的混合相似性度量方法计算煤矿数据的相似度；最后通过实验验证了本文所述方法的可行性和有效性．     

Scanning for sisnatures of geosraphically restricted selection based on population genomics analysis

Natural selection, as the driving force of human evolution, has direct impact on population differentiation. However, it is still unclear to what extent the genetic differentiation has been caused by natural selection. To explore this question, we performed a genome-wide scan with single nucleotide polymorphism （SNP） data from the International HapMap Project. Single locus FsTanalysis was applied to assess the frequency difference among populations in autosomes. Based on the empirical distribution of FsT, we identified 12669 SNPs correlating to population differentiation and 1853 candidate genes subjected to geographic restricted natural selection. Further interpretation of gene ontogeny revealed 121 categories of biological process with the enrichments of candidate genes. Our results suggest that natural selection may play an important role in human population differentiation. In addition, our analysis provides new clues as well as research methods for our understanding of population differentiation and natural selection.     

一种新的保留语义的P2P系统索引构造方法

提出了一种新的P2P系统索引构建方法.它使用多个简单本体(ontology),对同一资源进行描述,将各个ontology描述转化为相应的本体序号(ontology ID),然后使用Hilbert空间填充曲线,实现从多维ontology ID到一维索引值的映射,得到保留了语义的索引值.根据这个索引值,在Chord等结构化P2P上发布和查找资源.该方法对资源的描述更加准确、简单,资源的发布和查询也更加灵活和高效.     

从“A像B一样C”式比喻的语义搭配看比喻的构成

在“A像B一样C”式比喻性短语作状语的句子中，C与A、B之间的语义搭配呈现出纷繁复杂的情况。C与A、B之间既可以都构成正常搭配，也可以只与其中一个构成正常搭配，而与另外一个形成超常规搭配。与此相对应，比喻句中本体、喻体的构成也并不完全一致。本文运用认知语言学及转换生成语言理论，结合比喻句中的语义搭配来分析比喻中本体的位置及比喻的不同作用。在划分比喻本体和喻体时，要注意其形象的完整性，要和全句的语义搭配关系、语法结构关系结合起来进行分析。划分的方法和标准也应具体句子具体分析，不可一概而论。     

国内外知识抽取系统解析

介绍了目前最流行的知识抽取方法,分析比较了Amilcare、TEXTRUNNER、Pythor、MnM、Text2Onto、SELKAS等知识抽取系统。