军事装备知识网格的研究与应用

随着信息技术的飞速发展及其在军事领域的广泛应用,网络上已有海量的军事装备信息资源。由于这些信息是离散、分布存储的,相互之间没有语义关联,因此利用信息搜索技术获取用户真正想要的信息是一件很困难的事情。为解决这一问题,研究构建了军事装备知识网格,利用知识网格的知识检索功能实现对用户检索需求准确的理解,为用户提供真正需要的知识。     

一种基于知识树的推荐算法及其在移动电子商务上的应用

本文提出了一种有别于传统方法的、新颖的基于知识树的文档推荐算法,首先利用互联网资源构建基于词的知识树,然后运用EM算法不断用待分类的新文档自动更新知识树,使得词分类和文档分类结果同时达到最优,该算法不依赖于标注好的训练语料,是一种半监督的机器学习算法。在实际应用中,根据用户在移动互联网的互动行为,映射到知识树的相关分类,将同类的商品推荐给用户。在移动电子商务网络社区项目中,实验表明了该算法具有较高的执行效率,推荐结果的用户满意度约为83%。     

基于知识图谱的教育资源推荐系统设计

阐述在教育资源推荐中，按应用需要、通过科学构建课程推荐知识图谱，探讨融合联合子图过滤模型、充分利用在线系统设计知识图谱在线资源推荐系统，从而适应现代化教育资源应用的需求。     

基于知识地图的大学英语移动学习资源导航

针对移动状态下学习者无法准确便捷地定位与获取学习资源的现状,基于知识地图建立资源导航。首先,研究由听力、口语、阅读、写作、翻译、词汇、考试、评估等内容构成的大学英语移动学习资源;然后,基于关系数据库系统的层次结构,构建大学英语移动学习资源知识地图;最后,基于知识地图导航,知识与知识之间关联,建立全局导航、模块导航、课程内容框架导航等方式。运用"知识地图"为学生提供学习资源导航功能,能提高移动媒体的学习资源应用效果。     

面向电商领域的旗袍知识图谱构建与实证研究

为挖掘旗袍服饰要素的关联关系与隐藏价值,构建一个基于电商数据的细粒度旗袍知识图谱,并开展实证研究。旗袍知识图谱采用自底向上逐层构建的方法,首先根据先验知识设计细粒度本体模型,为后续工作提供逻辑基础;然后采集并预处理原始数据,通过知识抽取、知识融合规范化数据,进行实例填充,完成数据层设计;最后将数据存储到图数据库,实现可视化。在此基础上,围绕旗袍、服饰要素以及用户人群开展深度挖掘、知识推理,借助图分析算法在社区检测、相似度和要素关联上展开实证研究。结果表明：旗袍知识图谱蕴含服饰要素之间隐藏的关系,能够挖掘内在的语义信息;旗袍服饰要素和用户人群之间存在一定的知识关联性,进而辅助设计与销售决策。     

油气勘探开发知识智能加工技术——以中国石化知识管理系统为例

本文结合"中国石化知识工程示范应用"建设项目,在构建油气勘探开发知识体系基础上,结合油气勘探开发业务特点,通过优化自然语言处理(NLP)技术和创建"行业语料+行业字典+业务规则+算法模型"模式,提出一种知识智能加工技术框架,最后给出系统的实现.系统的研发应用对推广普及油气知识、辅助油气资源勘探开发具有重要作用和现实意义...     

图书馆知识发现技术的普惠化应用策略

知识发现可认为是一种“数据挖掘”,指从各种媒体表示的信息中,根据不同的需求获得知识的过程,其目的是向使用者屏蔽原始数据的繁琐细节,从原始数据中提炼出有意义的、简洁的知识,并直接向使用者报告。相较于传统的图书馆服务模式,知识发现服务更注重用户的主动参与和个性化需求,其以解决用户的信息需求为出发点,提供了多样化的信息资源,并通过各种渠道将这些资源传达给用户。随着信息技术的不断发展,图书馆不再满足于传统的纸质文献服务,而是开始采用各种先进的知识发现技术,为读者提供更全面、准确和高效的知识服务。然而,由于各种因素,图书馆知识发现服务尚未得到普及和广泛应用,制约了图书馆知识服务水平。对此,文中从知识发现技术在图书馆中的应用价值着手,分析了图书馆知识发现技术的应用现状,并结合现有问题,探讨了图书馆知识发现技术的普惠化应用策略。     

融合知识需求的扩展主题图在E-learning中的应用

本文针对传统教学中知识滞后学非所用的不足,结合E-learning环境可以便捷更新和获取学习资源的优势,提出一种融合知识需求的扩展主题图在E-learning中的应用方法,其采用Web信息抽取方法从招聘类网站获取知识需求并整合于传统主题图,形成一种扩展主题图模型用于E-learning的学习资源组织与导航,以热点的知识需求引导教育者更新知识体系有针对性的开发组织学习资源,引导学习者开展切实所需目的明确的在线学习.     

共享学习模式下知识服务云平台的构建研究

通过剖析知识服务的内涵和特征,梳理知识服务中存在的问题,结合云计算的特性,给出共享学习模式下知识服务的新模式。构建了知识服务云平台体系结构,设计了知识资源层、知识融合层、知识服务层、运营服务与计费保障体系、客户应用层5个知识服务功能模块,实现了知识资源的共享和协同。     

6G知识体系构建：面向全域全场景的学术知识挖掘及其按需应用

当前6G相关概念并未统一,亟待一致性的认知和定义,学术和产业界对6G的发展全貌和相关领域研究进展缺少清晰认识。为此,构建了6G知识库及知识体系。首先,对现有6G学术文献进行自动化筛选和结构化存储；其次,在对文本数据进行标注和规范化的基础上构建了6G知识库；再次,利用6G知识库实现了对6G全领域的统计分析；利用自然语言处理、深度神经网络和潜在树模型等技术实现对6G知识的抽取和生成。最后,在大模型训练的基础上,面向多样化的服务需求实现按需的知识应用。     

基于知识转移的高校学生知识获取模型研究

通过分析高等教育的现状,提出以知识管理的理论和方法为指导培养创新型复合人才;以知识转移理论为依据,给出了学生作为知识接受者的知识获取的方法和模型。     

知识安全研究初探

在借鉴有关文献的基础上,给出了数据、大数据、信息以及知识的形式化定义,提出了知识安全的机密性、完整性、可用性、可控性、可认证性、可传承性以及抗白化性等7大属性。给出了7大属性的形式化描述和各属性的相关保护技术。讨论了大数据与中心极限定理的关系,提出了安全知识系统的概念。     

基于SWRL规则推理的知识发现研究

基于本体技术的查询,并不能将隐含在显式定义和声明中的知识提取出来展示给用户,因此需要依靠一定的推理机制,才能使知识得以充分表达。首先介绍了本体相关概念,然后建立本体模型,并使用本体查询语言SPARQL(Simple Protocol and RDF Query Language)对已有本体模型进行查询,引出本体查询的不足,进而使用SWRL(Semantic Web Ru-le Language)对本体模型进行语义规则扩充,最后通过Jena对本体模型进行推理。实验结果表明,构建合理的本体推理机制,可以对本体中蕴含的知识进行有效的推理,从而改善和优化知识查询。     

从IC产业发展看知识经济与知识产业

现代电子系统对经典电子系统的激励冲撞给人类带来了极大好处，与此同时，也带来了极大的困惑，不只是技术上的困惑，更大是观念上的困惑。IC从且变到而空六十年代出现的IC（集成电路）是电子技术发展史上的里程碑。如此重要的历史意义只是近十年多年来才意识到的。这是因为IC并不会满足电路的集成，不会满足摩尔先生揭示的量变集成规律，它还要变成一个吞噬专家知识的黑洞。从电路集成发展到如今的知识集成，体现了IC从量变到质变的过程。llC发展的历史IC从诞生之日到现在已历经了4个技术年代，即电路集成（CI）、功能集成FI、技术集…     

Multisignatures based on zero knowledge schemes

It is shown that signatures formed from zero knowledge identification schemes can be extended to form schemes for multisignatures. These have considerable advantages over previously suggested multisignature schemes, particularly in terms of efficiency.<>     

Combining factual and heuristic knowledge in knowledge acquisition

A knowledge acquisition technique that combines heuristic and factual knowledge represented as two hierarchies is described. These ideas have been applied to the construction of a knowledge acquisition interface to OPERA (Expert System Analyst). The goal of OPERA is to improve the operations support of the computer network in the space shuttle launch processing system. The knowledge acquisition bottleneck lies in gathering knowledge from human experts and transferring it to OPERA. OPERA's knowledge acquisition problem is approached as a classification problem-solving task, combining this approach with the use of factual knowledge about the domain. The interface has been implemented in a Symbolics workstation, making heavy use of windows, pull-down menus, and other user-friendly devices.     

Structural analysis of the impact of knowledge creation and knowledge embedding on software process capability

Improving the capability of the development process has emerged as an important strategy for addressing recurring problems in software development, such as poor quality, high development costs, and long delivery lead times. While a number of normative software process models have been proposed, limited theory development has occurred. This study adopts a knowledge management perspective to examine the antecedents of software process capability. Synthesizing prior research in total quality management (TQM), software engineering and knowledge management, it is posited that creation of process knowledge and embedding the knowledge in the process are important antecedents of software process capability. Two models that relate these antecedents to software process capability are tested using data collected from information systems (IS) units in Fortune 1000 firms. The first model is a direct-impact model, which posits that both knowledge creation and knowledge embedding have a direct and positive impact on software process capability. The second model is a mediated-impact model, which posits that knowledge embedding completely mediates the relationships between knowledge creation and software process capability. The results provide strong support to the mediated-impact model suggesting that the extent to which knowledge is embedded in the process has a significant positive effect on software process capability. The results also suggest that the stock of knowledge embedded in the process is influenced by the extent to which knowledge is created in the context of the development process. Implications of these findings for IS research, theory, and practice are discussed.     

Legal knowledge

The development of intelligent legal information processing systems depends critically on availability of representations of legal knowledge. Some of the application areas envisioned for intelligent legal systems include retrieval systems, argument and reasoning systems, legal decision-making systems, and drafting systems. Successful implementation of systems of these types has been hampered by a lack of adequate knowledge representation for the underlying legal concepts. We need both representations of everyday situations and of subtle legal concepts like rights, duties, and contracts. This paper reviews some of the recent work in representing legal situations and discusses the special knowledge representation questions that arise in developing legal information processing systems. We concentrate on computational aspects of Hohfeldian concepts of rights and duties, deontic logic, representation of legal arguments, and the semantics of legal relations.     

Procedural knowledge

Much of commonsense knowledge about the real world is in the form of procedures or sequences of actions for achieving particular goals. In this paper, a formalism is presented for representing such knowledge using the notion of process. A declarative semantics for the representation is given, which allows a user to state facts about the effects of doing things in the problem domain of interest. An operational semantics is also provided, which shows how this knowledge can be used to achieve particular goals or to form intentions regarding their achievement. Given both semantics, our formalism additionally serves as an executable specification language suitable for constructing complex systems. A system based on this formalism is described, and examples involving control of an autonomous robot and fault diagnosis for NASA's space shuttle are provided.     

基于知识推理的机场目标识别

提出了一种新的基于知识的机场目标的识别方法.首先建立机场目标知识库,然后运用知识推理,通过相关知识确定机场各组成部分,最后通过验证各部分组成机场的各种可能性,确定是否存在机场,从而完成对机场目标的识别.实验结果表明:该方法在识别机场的同时,还确定了机场各组成部分的位置,使得机场识别结果更加可靠,验证了该方法的可行性.同...