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1.
随着中文文本挖掘技术的不断发展,使以内容分析为基础的科技文献计量成为可能。本文以我国知识管理研究出现以来的5000余篇学术期刊载文为分析对象,以特征选择算法抽取出10,000个特征词为基础,采用向量空间模型（VSM）和文本挖掘技术中的有序聚类方法,揭示出知识管理学科领域的研究内容在我国经历的三个发展阶段,同时还从特征词入手对这三个发展阶段的研究特点进行了归纳总结。将文本挖掘的相关技术应用到学科领域发展的研究中是一个很有意义的尝试,也为今后相关领域的研究工作起到一个很好的借鉴作用。 相似文献
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《Information processing & management》2023,60(5):103424
It is widely assumed that gendered wording in job advertisements can be a source of unconscious gender bias that contributes to occupational gender segregation, and gender lexicons have been developed and employed to detect gendered wording in job advertisements. The goal of this study is to create a Chinese job advertisement gender lexicon, the lack of which has impeded related research in China. Based on 53,786 job advertisements collected from a large employment website in China, the lexicon creation process enabled by supervised learning mainly involved identifying candidate gender words and determining their gender scores. The combination of Word2Vec and SVR yielded the highest performance and generated a new Chinese gender lexicon consisting of 1,429 masculine words and 1,064 feminine words with varying gender scores. The lexicon was successfully applied in gendered wording detection, revealing that masculinely and femininely worded job advertisements dominated different occupations in China. The superiority of the proposed lexicon creation method and the resultant lexicon are verified through comparisons. 相似文献
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《国际创新研究学报(英文)》2020,4(3):76-84
Industry 4.0, known as the fourth technological transformation towards digital-physical systems in manufacturing, creates a disruptive impact on industries. Manufacturing companies, especially small and medium-sized ones, are facing various challenges and must constantly innovate to remain competitive. One way to innovate is by implementing new technologies into company processes. In this study, we investigate how technology, company and industry related factors are associated with the implementation of Industry 4.0 in SMEs. We collect data via a survey with a focus on Industry 4.0 in SMEs. The results indicate that knowledge and expected benefits of technology are the drivers for the implementation of Industry 4.0 technologies. They also show that companies with high levels of process automation and high product variety are more likely to implement Industry 4.0 technologies. Our study creates a better understanding of the status, challenges and plans within Industry 4.0 implementation in SMEs, which will support the development of SME-friendly manufacturing tools and systems and craft managers’ and policymakers’ understanding of Industry 4.0 technologies. 相似文献
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Industry 4.0 and the associated IoT and data applications are evolving rapidly and expand in various fields. Industry 4.0 also manifests in the farming sector, where the wave of Agriculture 4.0 provides multiple opportunities for farmers, consumers and the associated stakeholders. Our study presents the concept of Data Sharing Agreements (DSAs) as an essential path and a template for AI applications of data management among various actors. The approach we introduce adopts design science principles and develops role-based access control based on AI techniques. The application is presented through a smart farm scenario while we incrementally explore the data sharing challenges in Agriculture 4.0. Data management and sharing practices should enforce defined contextual policies for access control. The approach could inform policymaking decisions for role-based data management, specifically the data-sharing agreements in the context of Industry 4.0 in broad terms and Agriculture 4.0 in specific. 相似文献
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Applying text mining techniques to legal issues has been an emerging research topic in recent years. Although a few previous studies focused on assisting professionals in the retrieval of related legal documents, to our knowledge, no previous studies could provide relevant statutes to the general public using problem statements. In this work, we design a text mining based method, the three-phase prediction (TPP) algorithm, which allows the general public to use everyday vocabulary to describe their problems and find pertinent statutes for their cases. The experimental results indicate that our approach can help the general public, who are not familiar with professional legal terms, to acquire relevant statutes more accurately and effectively. 相似文献
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[目的/意义]本文对近三年来（2015-2017）SCI和SSCI收录的图书情报学的影响因子排名前50%的外文期刊刊载论文及其题录数据进行计量研究,进而揭示国际LIS领域热点研究主题,再利用著名的科学分析管理工具ESI追踪LIS领域的研究发展趋势。[方法/过程]使用自主研发的程序工具基于Louvain算法对领域知识网络进行知识群落划分,进而识别领域知识主题与研究热点,再利用科学分析管理工具ESI根据共被引分析和聚类算法选出学科最新研究前沿。[结果/结论]通过研究发现,近三年国际图书情报学的研究热点主题分别是文献计量、高校图书馆、网络社交媒体研究、管理、卫生健康、技术、信息检索、电子政府、企业管理和电子商务等特定领域的信息应用,研究前沿主要集中在学术平台替代计量学研究、在线用户评论研究、政治文本内容挖掘研究、智慧城市研究、读者阅读研究、社交媒体相关研究等。 相似文献
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文本挖掘是数据挖掘技术的一个重要方面,本文根据句法规则的特征,利用文本挖掘技术,提出基于句法规则的文本知识挖掘设计模型,从数据准备、句法规则构造、文本预处理、文本知识挖掘、挖掘结果评价等方面对工作原理进行了分析,重点阐述了句法规则的构造过程,最后通过实验验证了该模型,该设计对实现文本知识的智能化挖掘具有一定的研究意义和应用价值。 相似文献
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The infusion of cloud-based operations, industrial internet connectivity, additive manufacturing, and cybersecurity platforms has not only re-engineered but also revitalized modern factories (Industry 4.0). Cloud-based Enterprise Resource Planning (Cloud ERP), which is a part of the cloud operations and one of the four major pillars of Industry 4.0, helps to attain higher levels of sustainable performance. Organizations invest considerable time and money to acquire both tangible and intangible capabilities to rise as an Industry 4.0 business. A great deal of research has focused on the bifurcation of the actual characteristics of performance. This study investigates the hidden linkage between one of the significant pillars of Industry 4.0 (CERP) and attributes of sustainable organizational performance while considering the effect of variables like firm size, cloud service type, and offerings that enact as control variables while achieving sustainable performance. The proposed hypotheses were empirically examined using primary cross-sectional data. Following Dillman (2007) guidelines, 209 responses were collected from technologically driven organizations and analyzed using partial least square structure equation modelling (PLS-SEM). The results offer interesting implications to the theory and provide further guidance to managers. 相似文献
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铁路运输、公路运输、水路运输和航空运输等系统中积累了大量的原始数据信息,为了有效地从这些异地的海量数据信息中抽取知识给无缝运输管理者提供决策支持,结合网格技术和数据挖掘技术提出了一个基于无缝运输信息网格（STIG）的并行数据挖掘方案。该方案的架构包括四层：用户层、挖掘任务分析和管理层、计算层、数据层。该方案的实现主要涉及数据挖掘算法服务的发现、数据分配和大数据源的分布式处理等技术。 相似文献
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【目的/意义】从大数据驱动角度出发,探索采用人工智能方法实现对政策文本协同性定量分析的可能性。
【方法/过程】以政策全文本数据为研究对象,使用知识图谱技术实现不同主题的本体构建,并应用数据挖掘中关联
规则构建推理模型,对图谱表示的政策文本进行协同性语义挖掘和推理。【结果/结论】围绕“开放数据”和“数据安
全”主题构建知识图谱,实现对政策文本的本体表示,在此基础上使用关联规则完成单文本和多文本在两个主题间
的协同性分析。【创新/局限】本文将知识图谱应用于政策文本分析领域,并完成协同性分析,为政策的全样本分析
提供可能性,后续需扩大样本规模,提升推理效率。 相似文献
11.
《Information processing & management》2023,60(2):103239
Exploring the factors that affect the market performance of paid knowledge products is of great importance for knowledge payment platforms. Drawing on the sensations-familiarity framework and social capital theory, this study investigates how knowledge differentiation between paid and free knowledge impacts market performance, along with the moderating effect of knowledge providers’ social capital. Technically, a neural network-based text mining model is utilized to transform free and paid knowledge to semantic vectors, whose dissimilarity is calculated as knowledge differentiation. Empirical analysis on a real dataset reveals the positive (or negative) effect of knowledge differentiation on sales (or eWOM, electronic word of mouth), which will be more prominent with the increase of social capital. The results are reinforced with robustness checks regarding alternative knowledge-differentiation measures, more control variables and alternative regression methods. The present study extends our understanding of knowledge payment and free-to-paid consumption, and offers practical implications for content design and product management. 相似文献
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[目的/意义]时间在延续,知识在传递,学术在创新。数据环境下,从细粒度视角对文献内容进行探析,旨在帮助科研人员在信息浪潮中准确、高效、智能地获取有用信息。[方法/过程]文章以知识基因作为文献组织节点,在知识基因遗传与变异的特征基础上提出了基于知识基因表达的智慧文献服务模式,对未来智慧文献服务从智慧文献检索、智能文献挖掘以及智慧文献推送三方面提出了创新思考。[结果/结论]从仿生学角度提出知识基因视角下的文献细粒度表达方式为未来智慧文献服务提供了新方案,智慧学术溯源、文本智慧生成以及文献智慧推送三种代表性智慧文献服务应用将对推动智慧文献服务发展起到积极作用。 相似文献
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The purpose of this paper is to understand the hidden connection between Circular Economy (CE) and Industry 4.0 in the context of supply chain. The factors responsible for linking CE and Industry 4.0 are studied from two angles viz. from the enablers’ side and barriers’ side. In the paper, twenty-six significant enabling and fifteen challenging factors are identified which are further factorized using Principal Component Analysis (PCA). DEMATEL approach is applied on the factors constructed from PCA. Here, the DEMATEL is applied for three different sets of data termed as Optimistic, Pessimistic and Most Likely. The paper identified Artificial Intelligence, Service and Policy Framework, and Circular Economy are significant enablers connecting CE and Industry 4.0. Similarly, paper reports Interface Designing and Automated Synergy Model as the most significant challenges to link CE and Industry 4.0 in a supply chain. 相似文献
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网络环境下企业客户关系管理的应用研究 总被引：3，自引：0，他引：3
信息技术和Web技术的应用改变了传统意义上的客户关系管理的涵义,客户关系管理倍受企业关注。本文探讨了网络环境下,数据挖掘、知识管理以及知识发现技术在企业CRM中的应用。 相似文献
17.
基于专利网络的技术演进研究方法探索 《科学学研究》2013,(5):651-0
技术演进研究可用于梳理技术领域的发展脉络和内部技术活动的发展历史及现状,对政府和企业的科技战略管理具有重要意义。专利引文分析在技术演进研究中存在难以准确判断专利的技术主题相似度、分析的范围和潜在信息的丰富性有限等缺陷,而文本挖掘方法可以对专利的文本内容进行深度分析,能在一定程度上弥补专利引文分析的缺陷,因此探索将专利引文分析与文本挖掘方法相结合,在专利引用关系矩阵和专利文本相似度矩阵的基础上创建C-T（Citation-Text）专利网络,并对C-T专利网络进行聚类分析和可视化展示来研究技术的演进过程,旨在进行技术演进研究方法的创新,丰富技术演进研究的方法体系。 相似文献
18.
Social media have been adopted by many businesses. More and more companies are using social media tools such as Facebook and Twitter to provide various services and interact with customers. As a result, a large amount of user-generated content is freely available on social media sites. To increase competitive advantage and effectively assess the competitive environment of businesses, companies need to monitor and analyze not only the customer-generated content on their own social media sites, but also the textual information on their competitors’ social media sites. In an effort to help companies understand how to perform a social media competitive analysis and transform social media data into knowledge for decision makers and e-marketers, this paper describes an in-depth case study which applies text mining to analyze unstructured text content on Facebook and Twitter sites of the three largest pizza chains: Pizza Hut, Domino's Pizza and Papa John's Pizza. The results reveal the value of social media competitive analysis and the power of text mining as an effective technique to extract business value from the vast amount of available social media data. Recommendations are also provided to help companies develop their social media competitive analysis strategy. 相似文献
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建立和证实组织应对工作不安全感及其消极后果的因果链,探究组织如何有效应对和控制工作不安全感及其消极后果。通过Lisrel和SPSS等软件对来自不同行业的219份有效问卷的实证分析表明,工作不安全感显著影响知识型员工的离职倾向和幸福感;工作不确定性会引发工作不安全感;组织发展性支持作为一项压力干预策略,能有效降低知识型员工的工作不安全感和工作不确定性;同时,工作不确定性和工作不安全感在组织发展性支持与知识型员工离职倾向和幸福感之间起连续中介作用。丰富了国内关于工作不安全感的研究,同时从组织关注和个体关注两方面分析工作不安全感的后果,为当前变化情境下的企业如何有效应对和管理知识型员工的工作不安全感提供管理借鉴。 相似文献
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年鉴全文数据库作为资料性、事实性极强的高密度信息源，蕴藏着许多重要的信息。这些数据后的关联性和内在规律，及其所显现的发展趋势等信息，在科研和决策过程中具有重要的参考价值，也是年鉴全文数据库这一信息源生存发展的基石。本文探讨了年鉴全文数据库内容挖掘的意义、目标，并时文本、统计表及多媒体三大类信息的内容挖掘进行了详细论述，以实现年鉴全文数据库从全文检索到知识发现的飞跃。 相似文献