共查询到20条相似文献，搜索用时 359 毫秒
1.
知识表示及其推理是研究知识集成服务的关键技术。本文研究了3个核心问题：一是模糊逻辑知识表示方法;二是将因素空间理论应用于与具体资源相关领域中的知识表示,实现统一的知识表示方法;三是对基于因素空间理论的知识表示方法进行运用,基于这种表示方法实现真值流知识推理机制,为实现语法层面的知识集成提供理论基础。Abstract： Knowledge representation and its inference are the key technologies for the research on integrated knowledge service.This paper studies 3 core issues： the knowledge representation method of fuzzy logic;applying the theory of factor space to the knowledge representation in the domain related to specific resources to realize the unified way of knowledge representation;using the knowledge representation method based on the theory of factor space to realize the truth-valued-flow knowledge inference mechanism so as to provide the theoretical basis for the knowledge integration at the syntax layer. 相似文献
2.
网络信息资源的知识组织方法 总被引：10，自引：0，他引：10
The paper summarizes the characteristics and problems of Interact information resources, and discusses the concept and theoretical basis of knowledge organization. Methods of knowledge organization for Intemet information re-sources, such as knowledge representation, knowledge reorganization, knowledge clustering, knowledge editing and metadata are described. 相似文献
3.
知识地图在多领域本体语义互联中的应用 总被引：2，自引：0，他引：2
以数字信息资源组织的多领域本体语义互联为切入点,通过对其目前问题的分析,提出引入知识地图技术解决本体的映射和聚类问题,构建了基于知识地图的多领域本体语义互联框架模型。Abstract： Starting with the semantic interconnection of multi-domain ontology in digital information resources organization,and by analyzing the problems existing therein,this article proposes to use the knowledge map technology to solve the mapping and clustering problem of ontology.The article constructs a framework model of semantic interconnection of multi-domain ontology based on knowledge map. 相似文献
4.
基于内容与形式交互的图书馆资源组织语义化方法研究 总被引：1，自引：0，他引：1
本文提出了基于NLP理论与方法,结合传统图书馆资源组织方式（分类法、主题词法）与领域本体构建技术,搭建辅助构建及标注一体化平台,进而实现语义元数据体系构建与资源组织语义化过程同步实施的解决方案,这一思想与方法的提出与实现,可以有效地促进图书馆资源语义化进程,使语义自动标注与知识服务成为可能。Abstract： The paper proposes an idea of building a unified platform integrating assisted construction with assisted annotation,which is based on the theory and method of NLP,and integrates the traditional library resources organization mode with the domain ontology construction technology. The idea offers the solution to the synchronized implementation of semantic metadata system construction and resources organization semantization,which will promote the semantization process of library resources effectively and make automatic semantic annotation and knowledge service possible. 相似文献
5.
基于知识管理的CRM体系架构 总被引：1，自引：0，他引：1
With the formulation of customer-centered competitive strategies in enterprise transformation process, cus-tomer relationship management (CRM) and knowledge management (KM) have become the focus of the enterprises‘ con-cem. This article attempts to guide the enterprise to using the idea, technology and method of KM in implementing CRM,and presents the system structure and main content of KM-based CRM. 相似文献
6.
知识地图作为一种指南,一种导航系统,它以可视化技术显示各种知识及其相互关系,帮助用户方便快捷地找到他们所需要的知识。文章在分析目前文献检索课存在的一些问题的基础上,尝试将知识地图运用于文献检索网络课程教学中,对文献检索网络课程中存在的问题提出一种新的解决思路。Abstract： As a guide and a navigation system,knowledge map can display a variety of knowledge and their relationships with visualization technology,and help users find the knowledge they need quickly and easily.Based on the analysis of the problems in the current document retrieval network course,this article attempts to apply the knowledge map in the document retrieval network course,and propose a new idea to solve the problems. 相似文献
7.
Abstract Knowledge management （KM） has been receiving considerable attention in the human-system research community. And it is one of the key issues on what the cognitive structure （schema） is and how it transfers. From different perspectives, such as the cognitive science, the concepts, elements and characteristics of cognitive schema, the knowledge structure, knowledge acquisition and influence of schema on it, this paper explores the cognitive schema of knowledge management. 相似文献
8.
知识创新运行过程涉及多方面主体要素行为,受到内部、外部动力与障碍因素的共同影响,以市场为导向,以实现市场价值为目标要素,形成了一个由知识创新构思子系统、知识创新构思评价子系统、知识创新研发子系统、知识创新商业化子系统、知识创新反思子系统相互作用、相互依赖、协同发展的复杂知识创新运行过程的网络协同系统。知识创新运行网络协同模型,揭示了知识创新运行各子系统之间的结构及其运行的规律。在此基础上给出促进知识创新运行过程良性循环的对策。Abstract： The operational process of knowledge innovation is involved with various elements. It is affected by the internal and external factors together. Taking market as the guide and the realization of market value as the objective,it forms a complicated network coordination system composed of the knowledge innovation design subsystem, knowledge innovation evaluation subsystem,knowledge innovation research and development subsystem,knowledge innovation commercialization subsystem and knowledge innovation retrospection subsystem,which interact with one another,rely on one anther and develop in coordination. The network coordination model for knowledge innovation operation reveals the structures among the subsystems and their operational rules. On this basis,countermeasures for the promotion of virtuous cycle of knowledge innovation operation are given. 相似文献
9.
基于作者共被引分析方法的知识图谱实证研究——以国内制浆造纸领域为例 总被引：5，自引：0，他引：5
知识图谱在揭示学科研究现状,识别学科研究前沿方面有着相当重要的作用。本文以制浆造纸领域为例,利用作者共被引分析方法,采取多元分析与社会网络分析相结合的技术,运用SPSS和Uci-net软件,绘制相关知识领域的可视化图谱,直观形象地展示了我国制浆造纸领域的研究现状,验证基于作者共被引分析方法的知识图谱在学科研究方面的有效性和可靠性。Abstract： Mapping knowledge domain plays an important role in revealing the status quo of disciplinary study and identifying its leading edge. Taking the pulp and paper manufacturing domain for example,and by the use of the author co-citation analysis method,this paper combines the technologies of multivariate analysis and social network analysis to draw the visible maps of the related knowledge domain by using the SPSS and Ucinet software,which displays the status quo of research in the pulp and paper manufacturing domain in China intuitively and figuratively. The validity and reliability of mapping knowledge domain in disciplinary study based on the author co-citation analysis method are verified. 相似文献
10.
《中国科学院院刊(英文版)》2014,(1):23-24
<正>Human brain is one of the most complicated systems existing in nature.It is estimated that approximately 1011neurons structure a highly complicated network in an adult brain through interconnection via 1015 synapses,thus research breakthroughs in visualization of the whole brain neural networks with the resolution level of individual neurons could serve as the base for understanding of brain functions and diseases.The Human Connectome is a study designed to run comprehensive analysis,as well as simulation of the neural connections and network structures of brain functions so as to unravel the secrets of how human brains work.The project seeks to,on all levels varying from macro view(encephalic region)to micro angle(individual neurons),present a thorough depiction of the frame network of human 相似文献
11.
文中提出了一种文本知识分析中的概念层次网络方法。该方法是一种文本概念分析的新思路。探讨了用面向对象技术与框架技术结合实现文本知识的抽象概念和具体概念的自动分析、知识组织、检索智能化方法。 相似文献
12.
【目的/意义】文物图像资源日益成为数字人文基础设施建设的重要内容,为了克服存在于图像资源内容与
形式上的“语义鸿沟”对其开发利用产生的消极影响,有必要面向文物图像资源底层视觉特征与高层语义特征的精
细化映射与细粒度知识表示进行相关研究。【方法/过程】本文在分析文物图像资源知识表示需求与表示策略的基
础上,提出了基于知识元构造的文物图像资源细粒度知识表示模型。在模型设计的基础上,以著名绘画文物《历代
帝王图卷》为例,阐述了面向文物图像资源细粒度表示需求进行知识元提取、构造与数据发布的具体流程。【结果/
结论】实验结果表明,本文提出的基于知识元的文物图像资源细粒度知识表示方法能够在图像底层视觉特征与高
层语义特征之间建立有效的语义映射关系,并通过与外部知识库的数据关联实现与开放关联数据网络的深度融
合。【创新/局限】本文从知识元角度出发,提出了文物图像资源的细粒度知识表示方法,在未来的研究中还需对文
物图像知识元的自动提取以及基于知识元的图像资源知识发现方法进行更深入地探索。 相似文献
13.
[目的/意义]有效融合引文网络中的引用关系和文本属性等多元数据,增强文献节点间的语义关联,从而为数据挖掘和知识发现等任务提供有力的支撑。[方法/过程]提出了一种引文网络的知识表示方法,先利用神经网络模型学习引文网络中的k阶邻近结构;然后使用doc2vec模型学习标题、摘要等文本属性;最后给出了基于向量共享的交叉学习机制用于多元数据融合。[结果/结论]通过面向干细胞领域的CNKI引文数据集的测试,在链路预测上取得了较好的性能,证明了方法的有效性和科学性。 相似文献
14.
以清晰表达知识内涵、促进信息资源语义共享为目的,以卫生监督调查信息为研究案例,尝试利用顶级本体属性元素构建具有通用语义特征的领域本体。通过领域知识本体的构建实证,详尽阐述依托“七步法”构筑领域本体的方法,探讨使用领域术语构建本体知识表达的途径,实现了卫生监督调查信息知识的本体化,为该领域知识的信息资源语义整合提供研究基础。 相似文献
15.
16.
基于知识元语义链接的知识网络构建 总被引：2，自引：0，他引：2
本文基于Brookes文献中的知识节点及Swanson文献间的隐性关联概念,提出了一种基于知识元本体语义链接的知识网络实现流程。文中给出了文献单元和Web信息的知识元认知抽取方法,知识元本体的结构建立和语义互联,以及利用Protégé技术实现基于知识元语义链接的知识网络构建步骤。 相似文献
17.
科技项目管理专家系统是针对企业申报项目进行风险分析、财务监督、进度监控,并向专家提供决策依据的专家系统。本文对申报科技项目企业所提供的项目数据、财务数据以及项目进度数据等进行分析和处理,引用框架、产生式规则与面向对象的知识表示方法对这些知识进行表示,从而为科技项目评估系统提供重要的决策支持依据。 相似文献
18.
《Information processing & management》2020,57(6):102344
Relation classification is one of the most fundamental tasks in the area of cross-media, which is essential for many practical applications such as information extraction, question&answer system, and knowledge base construction. In the cross-media semantic retrieval task, in order to meet the needs of cross-media uniform representation and semantic analysis, it is necessary to analyze the semantic potential relationship and construct semantic-related cross-media knowledge graph. The relationship classification technology is an important part of solving semantic correlation classification. Most of existing methods regard relation classification as a multi-classification task, without considering the correlation between different relationships. However, two relationships in the opposite directions are usually not independent of each other. Hence, this kind of relationships are easily confused in the traditional way. In order to solve the problem of confusing the relationships of the same semantic with different entity directions, this paper proposes a neural network fusing discrimination information for relation classification. In the proposed model, discrimination information is used to distinguish the relationship of the same semantic with different entity directions, the direction of entity in space is transformed into the direction of vector in mathematics by the method of entity vector subtraction, and the result of entity vector subtraction is used as discrimination information. The model consists of three modules: sentence representation module, relation discrimination module and discrimination fusion module. Moreover, two fusion methods are used for feature fusion. One is a Cascade-based feature fusion method, and another is a feature fusion method based on convolution neural network. In addition, this paper uses the new function added by cross-entropy function and deformed Max-Margin function as the loss function of the model. The experimental results show that the proposed discriminant feature is effective in distinguishing confusing relationships, and the proposed loss function can improve the performance of the model to a certain extent. Finally, the proposed model achieves 84.8% of the F1 value without any additional features or NLP analysis tools. Hence, the proposed method has a promising prospect of being incorporated in various cross-media systems. 相似文献
19.
针对P2P网络不支持语义查询以及语义Web中知识存储过于集中的问题,本文采用超节点对等网网络的方法,将对等网技术和语义Web技术结合起来,提出了一种新的语义对等网体系结构。结构中节点根据物理位置拓扑的不同形成区域自治系统(AAS),各AAS内节点根据语义相似度形成语义簇(SC),语义簇内选择性能最高的节点作为超节点,超节点再根据语义关系形成超节点语义网(SSW),从而形成一个三层架构的语义对等网体系结构。最后通过实例验证了所提出来的语义对等网体系结构。 相似文献
20.
框架表示是一种广泛地应用于人工智能系统中的知识表示方法,而目录服务器则是一种层次型数据库,以分层的方式将各种资源信息在目录树结构中分层存储。根据目录服务的层次结构特性,将目录服务用于基于框架的知识表示,可达到事半功倍的效果。并可利用LDAP所提供的开发包,实现对知识库的操作。 相似文献