Incorporating Domain Knowledge into Data Mining Process:An Ontology Based Framework

With the explosive growth of data available, there is an urgent need to develop continuous data mining which reduces manual interaction evidently. A novel model for data mining is proposed in evolving environment. First, some valid mining task schedules are generated, and then au tonomous and local mining are executed periodically, finally, previous results are merged and refined. The framework based on the model creates a communication mechanism to in corporate domain knowledge into continuous process through ontology service. The local and merge mining are transparent to the end user and heterogeneous data ,source by ontology. Experiments suggest that the framework should be useful in guiding the continuous mining process.

Large-Scale Ontology Development and Agricultural Application Based on Knowledge Domain Framework

The key activity to build semantic web is to build ontologies. But today, the theory and methodology of ontology construction is still far from ready. This paper proposed a theoretical framework for massive knowledge management- the knowledge domain framework （KDF）, and introduces an integrated development environment （IDE） named large-scale ontology development environment （LODE）, which implements the proposed theoretical framework. We also compared LODE with other popular ontology development environments in this paper. The practice of using LODE on management and development of agriculture ontologies shows that knowledge domain framework can handle the development activities of large scale ontologies. Application studies based on the described briefly. principle of knowledge domain framework and LODE was

A Proposed Knowledge Management Implementation Framework for the Ghanaian Construction Industry

This study aims at developing a Knowledge Management Implementation Framework for adoption by firms in the Ghanaian construction industry. Recent developments in the field of Knowledge management in the construction sector have led to a renewed competition in driving organizational performance. However, the construction industry in Ghana lacks a knowledge management implementation framework that addresses the needs of the Ghanaian construction supply chain while a comprehensive approach to managing knowledge remains nebulous. The study adopted an extensive literature review of existing knowledge management models to provide the basis for the development of the proposed framework for Ghana. The proposed knowledge management implementation framework was subjected to testing and validation by project managers drawn from nineteen indigenous construction firms in Ghana. The technology acceptance model (TAM) was used as the criteria to validate the proposed knowledge management implementation framework. The proposed Guribie & Tengan knowledge management implementation framework was perceived to be useful, and easy to use and the intention to adopt and use was high among indigenous Ghanaian construction firms. The study recommends further validation using wider population to enhance the efficacy of the framework for wider industry acceptance to enhance organizational competitiveness and performance delivery.

Designing and Evaluating a Collaborative Knowledge Management Framework for Leaf Disease Detection

Knowledge Management(KM)has become a dynamic concept for inquiry in research.The management of knowledge from multiple sources requires a systematic approach that can facilitate capturing all important aspects related to a particular discipline,several KM frameworks have been designed to serve this purpose.This research aims to propose a Collaborative Knowledge Management(CKM)Framework that bridges gaps and overcomes weaknesses in existing frameworks.The paper also validates the framework by evaluating its effectiveness for the agriculture sector of Pakistan.A software LCWU aKMS was developed which serves as a practical implementation of the concepts behind the proposed CKMF framework.LCWU aKMS served as an effective system for rice leaf disease detection and identification.It aimed to enhance CKM through knowledge sharing,lessons learned,feedback on problem resolutions,help from co-workers,collaboration,and helping communities.Data were collected from 300 rice crop farmers by questionnaires based on hypotheses.Jennex Olfman model was used to estimate the effectiveness of CKMF.Various tests were performed including frequency measures of variables,Cronbach’s alpha reliability,and Pearson’s correlation.The research provided a KMS depicting KM and collaborative features.The disease detection module was evaluated using the precision and recall method and found to be 94.16%accurate.The system could replace the work of extension agents,making it a cost and time-effective initiative for farmer betterment.

Using the KISO's Framework to Integrate Knowledge Sources

In complicated application environment such as CIMS (Computer Integrated Manufacture System) enterprise, it will bring great benefits to integrate distributed knowledge sources. But the difficulties of knowledge sharing and reuse seriously encumbrance the implementation of knowledge integration. In this paper, we describe how a framework of knowledge-integrated system based on ontology (KISO) can be used to support integrating distributed knowledge sources.

Research on construction knowledge resources framework of real estate enterprises

Many studies have shown that knowledge resources have been the real source of innovation and competitiveness of real estate enterprises. Therefore, it is the basic work to establish the real estate enterprise knowledge resources framework for implementing knowledge management（KM）,and it should be given enough attention. A sort of the real estate enterprise knowledge resources framework system has been built in this paper based on the thought of Clark ＆ Henderson＇s enterprise knowledge classification, and the contents have been analyzed and expounded. Thus, the real estate enterprises can grasp clearly the basic contents of its knowledge resources, then depict the knowledge system, in the end the solid foundation should be settled for implementing knowledge management.

Arguing the capacity of ＂word knowledge framework＂ to explain the nature of vocabulary

The acquisition of word knowledge, in terms of breadth and depth, has a fundamental impact on language learning. A comprehensive framework of word knowledge is therefore needed to help language learners master all the aspects of word knowledge. This paper proposed a framework of word knowledge based on the literature review of the field. The pedagogical implications of the word knowledge framework were then proposed and discussed critically. Finally, it is proposed that syllabus designers need to consider the possibility of incorporating ＂word knowledge framework＂ into syllabus.

Exploring the Three-dimensional Framework of Knowledge Service in the field of Library and Information Science(LIS)

The evolution of the society and economy has stimulated the development of Knowledge Service(KS), making it an indispensable solution to address future challenges facing libraries and information institutions. However at present, academic research on knowledge service is falling short and its definition is far from clear and complete. As such,this article proposes the Three-dimensional Framework Knowledge Service(TdFKS) for libraries and information institutions based on the knowledge value chain model. By making reliability analysis and mean value analysis of a questionnaire survey result, the article clarifies the structure of the three-dimensional framework and verifies the rationality of the TdFKS.

CAD Framework中基于知识的设计流管理

设计流管理是CAD Framework(框架结构)中一个新的研究领域。本文在给出与设计流有关的基本概念的基础上,采用结构约束和数据约束的方法实现对设计流的知识表示,并通过设计经验的获取途径、进一步的知识生成以及设计流的执行、一致性的处理和设计流的评估,详细讨论CAD Framework 中基于知识的设计流管理。文中还给出了相应的设计流管理系统的总体设计。

Two-Stage Approach for Targeted Knowledge Transfer in Self-Knowledge Distillation

Knowledge distillation(KD) enhances student network generalization by transferring dark knowledge from a complex teacher network. To optimize computational expenditure and memory utilization, self-knowledge distillation(SKD) extracts dark knowledge from the model itself rather than an external teacher network. However, previous SKD methods performed distillation indiscriminately on full datasets, overlooking the analysis of representative samples. In this work, we present a novel two-stage approach to providing targeted knowledge on specific samples, named two-stage approach self-knowledge distillation(TOAST). We first soften the hard targets using class medoids generated based on logit vectors per class. Then, we iteratively distill the under-trained data with past predictions of half the batch size. The two-stage knowledge is linearly combined, efficiently enhancing model performance. Extensive experiments conducted on five backbone architectures show our method is model-agnostic and achieves the best generalization performance.Besides, TOAST is strongly compatible with existing augmentation-based regularization methods. Our method also obtains a speedup of up to 2.95x compared with a recent state-of-the-art method.

面向全流程的科研机构知识管理能力评价指标框架研究——以沈阳市12家国家级重点实验室为例

识别及提升知识管理能力是科研机构评价活动的核心任务,但由于不同科研机构之间存在着研究领域和管理体系的差异,跨机构的评价和经验共享存在诸多障碍。现有的知识管理能力评价体系多以科研成果或行政流程为主要指标,存在一些不容忽视的隐患。为此,基于资源基础观和动态能力理论,将知识作为核心管理资源,并将知识资源的相关管理流程作为评价知识管理能力的指标,通过系统文献综述及德尔菲方法梳理出一套包含6个环节、30项要素的全流程知识能力评价指标框架,采用该指标框架对沈阳市12家国家级重点实验室的知识管理能力进行横向评价,根据评价结果给出有针对性的管理及政策建议。研究表明:该指标框架既能从一个更完整、动态的角度了解科研机构的知识管理能力,还能为科研机构之间的横向比较、评估和政策指导提供便利;12家实验室在知识收集、存档、阐述和应用方面表现良好,但在知识的保留、分享、协作、创新以及转化方面存在较大改良空间。为此,应建立全面公正的评估机制,通过定期审计和评估来确保实验室达到预定的知识管理标准。

智能时代数学教师CT-MPK理论框架研究

智能技术重塑了教育演进变革样态,教师知识结构亟待更新。为此,文章首先以整合技术的学科教学知识为教师知识结构的核心,以数学教师为研究对象,梳理了智能时代教师知识结构跃迁的脉络,初步廓清了智能时代数学教师知识结构的发展需求。随后,文章引入计算思维知识,构建了智能时代数学教师融入计算思维的数学教学知识(Computer Thinking-Mathematics Pedagogical Knowledge,CT-MPK)理论框架。最后,文章以MPK的社会化为基础,提出CT-MPK理论框架的实践路径,包括多途径融入计算思维实现CT-MK外显化、提供浸润式学习情境引导问题解决实现CT-PK整合化、跨学科知识优化教学实现CT-MPK内在化。CT-MPK理论框架的构建及其实践路径的提出,既有助于更新与扩展数学教师的知识结构,也可为指导数学教师的教学实践提供参考,有助于数学教师更好地适应智能时代的教育变革,推动教育的高质量发展。

SL-tgStore:新的时序知识图谱存储模型

为了解决时序知识图谱的存储问题,提出结合快照和日志模式的时序知识图谱存储模型SL-tgStore.模型由若干时间桶组成,每个时间桶由一系列的时间窗口组成.在首个时间窗口引入初始快照作为时序知识图谱存储和处理的基本单元,在接下来的时间窗口存储为增量日志.提出相应的阈值来确定初始快照的生成,即生成一个新的时间桶,以达到初始快照数量与增量日志数量的平衡,并提出临时快照生成算法.所提模型能够有效解决快照存储模式消耗内存大,日志存储模式查询效率低的问题.为了对SL-tgStore模型进行高效查询,在此基础上提出4种索引结构.在4个真实数据集上进行实验,理论研究与实验结果表明所提出的SL-tgStore存储模型具有高效性.

数字社会创新何以可能--一个知识计量学的分析

数字社会创新为整合技术创新与社会创新的双重优势带来新契机。文章在界定数字社会创新概念的基础上,运用文献计量法对数字社会创新主题文献进行了系统梳理,并基于九大聚类,以社会取向和创新过程为基本维度构建了两维知识框架:其一,数字社会创新从分别面向商业、政治、社会和生活等的数字赋能初期形态过渡到以数字创新生态系统为支撑的数字社会创业形态,所指涉的广义社会取向是以实现多元混合价值为目标的取向;其二,数字社会创新过程展现出以数字技术为核心、并借由行动者的主动架构或被动采纳与社会环境进行互动循环发展的过程。文章以此知识框架为进一步理解数字技术赋能或驱动的社会创新现象提供理论视角,以期发展国内数字社会创新理论研究,助力数字化转型实践。

企业绿色创新:研究述评与展望

绿色创新是企业构建持续竞争优势的动力源泉,已成为企业实践领域中的研究热点。论文基于2010—2022年4月CNKI和Web of Science数据库中的610篇文献,首先,运用文献计量工具CiteSpace挖掘和识别文献发表情况、研究热点及演变、关键词主题聚类等,发现现有研究可归类为前因、行为、过程和结果四个方面。其次,对企业绿色创新的文献展开内容分析,揭示了该领域的研究进展。具体而言,“前因”包括管理者、企业及外部环境三个层面,从内容和动机维度对企业绿色创新“行为”进行细分,“过程”包括中介与调节机制,并总结出经济、环境和综合效益等三方面绿色创新“结果”。最后,根据“前因—行为—过程—结果”的逻辑理路构建整合知识框架,并展望未来研究方向。

数智时代教育技术学专业人才培养:局限性、作用域与知识框架

数智时代呼啸而来,教育技术学专业致力于培养未来促进教育现代化发展的教育信息化人才。由此聚焦于我国教育技术学专业在人才培养中存在的毕业生就业困难以及培养理念、培养结构等不符合社会需要等问题,对人才培养的局限性进行分析,厘清数智时代教育技术学专业人才培养的新方向,借助专业人才培养的作用域梳理与整体框架设计,明确数智时代教育技术学专业人才培养的新内容,形成宏观标准向能力要素延展的融会贯通。

利益相关者知识共享行为对项目绩效影响机制探究——以大型航空交通枢纽项目为例

知识共享行为在重大工程项目中的重要性已获得广泛认识,但实践中受项目和组织的复杂性以及严格的时间和成本等限制,跨组织的知识共享行为无法得到有效实施和管理。为提高重大工程项目管理的精细化水平,增强利益相关者管理的针对性,并给建筑业高质量发展提供新的见解,结合利益相关者理论、理性行为理论和组织学习理论,从宏观、微观和实践3个层面建立一个多层次的项目行为分析架构,在不同的尺度上提供理解复杂项目背景下跨组织行为的视角和工具;在此基础上,采用问卷调查方式收集数据并进行实证分析,针对重大工程项目中的典型代表——大型航空交通枢纽项目,探讨关键利益相关者知识共享行为影响项目绩效的机制。结果表明:在该多层次理论框架视角下,利益相关者的利益感知态度、主观规范和制度支持对其知识共享行为意图产生了显著正向影响;此外,知识共享行为意图显著正向影响实际的知识共享行为,进而对提升大型航空交通枢纽项目的绩效产生了显著影响。因此,在重大工程项目实施过程中,除了依赖传统的“硬性管理”手段,还应加强对“软性管理”方面的关注,通过识别和优化利益相关者的跨组织行为模式可以有效提升项目的绩效。

超大城市治理与发展:概念框架、核心议题与未来展望

超大城市的兴起及其有效治理,是世界大国共同面临的难题。要解决超大城市面临的“城市病”,就需要建构超大城市治理与发展的本体论框架,以实现对超大城市治理的认知、诊断和优化,从而推动超大城市治理体系和治理能力现代化,最终实现超大城市的高质量发展。多层次嵌套界面治理体系是理解超大城市治理与发展的本体论框架,这一框架要发挥作用必须能够回应超大城市治理所面临的问题,通过解决问题促进城市发展。将多层次嵌套界面治理框架应用于超大城市问题分析中,形成一系列需要处理的核心议题,如超大城市的战略议题、超大城市的横向和纵向议题、超大城市的自身议题、政民互动议题等。为了论证概念框架和核心议题的合理性,基于北京市的超大城市治理实践进行了案例研究,以期实现概念框架建构、理论阐述和案例研究三者统一,从而加深我们对超大城市治理与发展的理论认知。展望未来,需要将超大城市治理与发展的本体论框架应用于更广阔的实践场景,在提升理论内部效度和外部效度的同时,推动形成我国自主的超大城市治理知识体系,为我国超大城市治理现代化和高质量发展提供思想和智慧。

Storm分布式计算框架下基于知识图谱的快速学习资源推荐

针对在线学习资源推荐存在精度较低或实时性较差的问题,采用知识图谱进行用户及资源的知识表示,并采用长短时间记忆网络对用户资源特征差进行优化,从而将与用户特征差最小的资源推送给用户。首先,在获得在线学习记录样本后,利用知识图谱进行实体特征关系的知识表示,并借助Storm分布式框架生成知识图谱中头尾实体及关系特征向量。接着,建立用户-资源实体的最小特征差目标函数,并采用长短时间记忆网络对最小特征差目标函数进行优化。最后,通过Storm分布式平台进行长短时间记忆网络的参数求解,从而快速生成稳定的相关资源推荐模型。实验结果表明,在Storm分布式框架下采用知识图谱和长短时间记忆网络实现在线资源推荐,可获得较高准确率及运行效率,在应对大规模资源的实时推荐方面具有较强的适应度。

全膝关节置换术后患者居家康复锻炼方案的构建

目的构建全膝关节置换术后患者居家康复锻炼方案,促进患者术后居家管理。方法以知识行动框架指导方案构建,系统检索全膝关节置换术后居家康复锻炼的相关文献并评价质量,提取及汇总最佳证据形成锻炼意见;采用德尔菲法进行2轮咨询,确定居家康复锻炼内容;通过患者、实践者、管理者访谈,分析实施证据的促进因素和阻碍因素;采用专家小组会议制定居家康复锻炼内容实施的行动策略。结果共纳入23篇文献,筛选24条锻炼意见并细化为术后2~26周的居家康复锻炼内容;确定3个促进因素与4个阻碍因素;最终形成全膝关节置换术后患者居家康复锻炼方案,并制定康复锻炼评估与实践流程图。结论全膝关节置换术后患者居家康复锻炼方案的制定遵循实施科学的知识行动框架,纳入最佳证据,结合专业人员判断、患者意愿及可用资源,可为患者进行居家康复锻炼提供规范系统的干预指引。