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简介：Whenqueryingonalarge-scaleknowledgebase,amajortechniqueofim-provingperformanceistopreloadknowledgetominimizethenumberofroundtripstotheknowledgebase.Inthispaper,anontology-basedsemanticcacheisproposedforanagentandontology-orientedknowledgebase(AOKB).InAOKB,anontologyisthecollectionofre-lationshipsbetweenagroupofknowledgeunits(agentsand/orothersub-ontologies).WhenloadingsomeagentA,itsrelationshipswithotherknowledgeunitsareexamined,andthosewhohaveatightsemantictiewithAwillbepreloadedatthesametime,includingagentsandsub-ontologiesinthesameontologywhereAis.Thepreloadedagentsandontologiesaresavedatasemanticcachelocatedinthememory.Testresultsshowthatupto50%reductioninrunningtimeisachieved.

简介：语义图象分割是一项任务为每个图象象素预言一个范畴标签。它的关键挑战是设计一个强壮的特征代表。在这份报纸，我们作为特征表示熔化神经网络(CNN)展示的层次convolutional和基于区域的特征。层次特征包含更全球的信息，当基于区域的特征包含更多的本地信息时。这些二种特征的联合显著地提高特征表示。然后，熔化特征被用来训练一个softmax分类器生产每象素标签任务概率。并且一块充分连接的有条件的随机的地(CRF)被用作一个processing以后方法改进标记的一致性。我们进行实验在上筛流动数据集。象素精确性和班精确性分别地是84.4%和34.86%。

简介：Atpresent,thereisnoformalizeddescriptionoftheexecutingprocedureofworkflowmodels.Theprocedureofworkflowmodelsexecutinginworkflowengineisdescribedusingoperationalsemantic.Theformalizeddescriptionofprocessinstancesandactivityinstancesleadstoveryclearstructureoftheworkflowengine,haseasycooperationoftheheterogeneousworkflowenginesandguidestherealizationoftheworkflowenginefunction.Meanwhile,thesoftwareofworkflowenginehasbeencompletedbymeansoftheformalizeddescription.

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简介：ThispaperintroducesakindofsemanticcomputationandpresentshowtocombineitintoourChineseQuestion-Answering(QA)system.Basedontwokindsoflanguageresources,HownetandCilin,wepresentanapproachtocomputingthesimilarityandrelevancybetweenwords.Usingtheseresults,wecancalculatetherelevancybetweentwosentencesandthengettheoptimalanswerforthequeryinthesystem.ThecalculationadoptsquantitativemethodsandcanbeincorporatedintoQAsystemseasily,avoidingsomedifficultiesinconven-tionalNLP(NaturalLanguageProcessing)problems.Theexperimentsshowthattheresultsaresatisfactory.

简介：Translation is the transfer of meaning,A Coursebook on Translation. Beijing,Beijing University Press.

简介：Meaning is complicated. The first difficulty in the study of meaning is that the word,and Semantics is the study of meaning. So we cannot study translation without some knowledge of semantics. This paper discusses the different types of meanings in translation from the perspective of Semantics. The results of the study can help to further comprehend the original language and improve translation.,The meaning of a word is its use in the language.

简介：概述了本体的概念、原理、建构方法与应用前景，还介绍了语义网的涵义、体系结构及其发展趋势。参考文献7。

简介：从激光雷达数据的大楼的抽取是最近的年里的一个活跃研究领域。为从激光雷达数据造察觉和重建的一个计划与基于大楼的一个面向对象的方法被介绍“语义规则。二关键步被讨论：怎么组织分离激光雷达点进单个目标并且怎么建立大楼“语义规则。最后，大楼在3D形式和三个普通参量的大楼模型被重建(扁平，gabled，hipped)被实现。

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简介：Focusingontheproblemofgoaleventdetectioninsoccervideos,anovelmethodbasedonHiddenMarkovModel(HMM)andthesemanticruleisproposed.Firstly,aHMMforagoaleventisconstructed.ThenaNormalizedSemanticWeightedSum(NSWS)ruleisestablishedbydefininganewfeatureofshots,semanticobservationweight.ThetestvideoisdetectedbasedontheHMMandtheNSWSrule,respectively.Finally,afusionschemebasedonlogicdistanceisproposedandthedetectionresultsoftheHMMandtheNSWSrulearefusedbyoptimalweightsinthedecisionlevel,obtainingthefinalresult.Experimentalresultsindicatethattheproposedmethodachieves96.43%precisionand100%recall,whichshowstheeffectivenessofthisletter.

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简介：Thispaperexaminestheproblemsexitinginread-ingcomprehensionfornon-Englishmajorcollegestu-dents.Thewriteradoptedsemanticmappingmethodstoimprovetheirreadingcomprehension,whichhavebeenprovedtobepracticalandeffectivereadingstrategiesafteroneyear’spractice.

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