现代信息技术背景下普通高校课外体育活动创新研究     

管月泉  陈欣 《当代体育科技》2020,(11):120-121

随着现代信息技术的快速发展,"互联网+"这一概念频繁出现在公众视野。同时,,对高校体育事业的发展也产生了不可估量的影响。在《体育发展"十三五"规划》中,再次表明要实施"互联网+体育"战略,要将"互联网+"与全民运动融合到一起。本文在简要分析高校大学生课外体育活动现状基础上,重点探讨了基于手机APP创新普通高校课外体育活动的具体建议。  相似文献   

个性服务视域下的高校档案数据库建设     

沙敏 《档案管理》2020,(3):115-116

本文通过研究当前高校档案管理的重要性,结合实际的档案需求情况,分析了档案专题数据库基本的几种类型,来满足高校群体对档案信息的个性化需求,并通过对档案专题数据库模式的分析,制定了具体的应用措施,以便能够为相关人员提供信息参考。  相似文献   

数字图书馆信息服务的融合与创新——基于2019年JCDL年会论文的综述     

梁少博  吴丹 《图书情报知识》2020,(3):97-108

[目的/意义]本文通过对2019年国际数字图书馆联合会议(Joint Conference on Digital Library,JCDL)的录用论文进行整体回顾,梳理了本届年会的最新研究成果与学科发展动态,以助国内图情领域学者更好地了解本届年会成果,把握国际数字图书馆领域研究的前沿热点问题。[研究设计/方法]采用文献综述的方法进行研究。[结论/发现]本届年会更加关注数字图书馆如何通过多源数据的融合、数字人文馆藏资源的利用等实现信息服务深度融合;数字图书馆如何通过海量大数据挖掘与利用、用户行为分析提升其服务水平;如何通过对学术文本资源深入挖掘,实现信息计量学在学术评审、学术评价等方面的创新应用。[创新/价值]本文揭示了国际数字图书馆领域的最新发展态势,展望了未来数字图书馆领域的学术前沿方向。  相似文献   

权利抑或特权：奥运会参赛权法律性质辨析——平昌冬奥会俄罗斯运动员及辅助人员体育仲裁案例述评     

郭树理 《上海体育学院学报》2020,(1):39-48

俄罗斯国家奥委会遭国际奥委会(IOC)暂停成员资格,导致很多无辜运动员无法参加平昌冬奥会,国际体育仲裁院(CAS)平昌冬奥会特别仲裁机构处理的数起案件均涉及俄罗斯运动员的参赛资格问题。俄罗斯运动员在仲裁程序中败诉的主要原因是《奥林匹克宪章》规定:奥运会是IOC的专属财产、任何人不拥有参加奥运会的所谓权利、IOC可以拒绝任何人参赛而无须出具理由。IOC运用对奥运会的专属权利,无正当合理理由拒绝符合参赛条件的俄罗斯清白运动员参赛,有构成垄断的嫌疑。符合参赛选拔条件、且不存在禁止性限制因素(如兴奋剂禁赛处罚在身)的清白运动员参加奥运会,是他们的权利,而不是IOC赋予他们的特权。切实保护运动员参赛权利是各国法院和国际体育仲裁院在处理体育参赛资格案件中的一贯立场,平昌冬奥会仲裁庭的实践过于保守。奥林匹克运动体育善治的改革,要求必须对《奥林匹克宪章》进行修改,最大限度地保护运动员的参赛权利,实现《运动员权利与义务宣言》的宗旨。  相似文献   

Platform-based customer agility: An integrated framework of information management structure,capability, and culture     

《International Journal of Information Management》2021

Platform-based customer agility is the ability to leverage the voice of the customer on a platform to achieve market intelligence and to explore competitive action opportunities. Prior studies have indicated the critical role of customer agility in enabling the survival and prosperity of contemporary organizations in a turbulent business environment, although how to develop this capability is not answered. The current research attempts to fill this theoretical gap. Drawing on the information management literature, we propose an integrative information management framework to investigate the process of developing customer agility. By conducting a case study of a leading e-commerce platform in China, we identify three types of platform-based customer agility (i.e. reactive customer agility, proactive customer agility, and coactive customer agility) in different phases of the growth of the platform. Furthermore, a process model is developed from the case study. It shows that platform-based customer agility is achieved by establishing information management structure, developing information management capability, and instilling information management culture. This study contributes to the knowledge on customer agility and information management. Detailed recommendations are also provided for potential practitioners.  相似文献   

Information resource orchestration during the COVID-19 pandemic: A study of community lockdowns in China     

《International Journal of Information Management》2020

The outbreak of the COVID-19 pandemic has created significant challenges for people worldwide. To combat the virus, one of the most dramatic measures was the lockdown of 4 billion people in what is believed to be the largest quasi-quarantine in human history. As a response to the call to study information behavior during a global health crisis, we adopted a resource orchestration perspective to investigate six Chinese families who survived the lockdown. We explored how elderly, young and middle-aged individuals and children resourced information and how they adapted their information behavior to emerging online technologies. Two information resource orchestration practices (information resourcing activities and information behavior adaptation activities) and three mechanisms (online emergence and convergence in community resilience, the overcoming of information flow impediments, and the application of absorptive capacity) were identified in the study.  相似文献   

The Mystery Room: discovering the flexibility of an information literacy-based educational escape room     

Glenn Koelling  Alyssa Russo 《Public Services Quarterly》2020,16(1):1-11

Abstract

The Mystery Room is an educational escape room based on information literacy and applied to multiple audiences, including first-year students and library student employees. In this article, we explain how we developed the game, its theoretical underpinnings, and why it’s a flexible workshop for a variety of audiences.  相似文献   

体育赛事转播权的多重解读及其类型化保护     

龚韬  刘智瑜  何炼红 《武汉体育学院学报》2019,53(11):43-48

体育赛事转播权是一种新兴的复合型权利，是指电视台、视频网站、直播平台等转播机构就其制作的体育赛事节目和提供的转播信号享有的著作权或者录音录像制品权、广播组织权，同时也是指赛事组织者就体育赛事享有的"转播许可权"。对其不同层次的内容应当分别予以解读，而不宜笼统地在"体育赛事转播权"这一概念下进行讨论。对赛事组织者的权利保护，有赖于体育法对其权利予以法定化；对相应的著作权人和邻接权人的保护，需要在完善著作权法的基础上，坚持作品独创性判断标准，并提升邻接权的保护水平。  相似文献   

Web document summarization by exploiting social context with matrix co-factorization     

Minh-Tien Nguyen  Viet Cuong Tran  Xuan Hoai Nguyen  Le-Minh Nguyen 《Information processing & management》2019,56(3):495-515

In the context of social media, users usually post relevant information corresponding to the contents of events mentioned in a Web document. This information posses two important values in that (i) it reflects the content of an event and (ii) it shares hidden topics with sentences in the main document. In this paper, we present a novel model to capture the nature of relationships between document sentences and post information (comments or tweets) in sharing hidden topics for summarization of Web documents by utilizing relevant post information. Unlike previous methods which are usually based on hand-crafted features, our approach ranks document sentences and user posts based on their importance to the topics. The sentence-user-post relation is formulated in a share topic matrix, which presents their mutual reinforcement support. Our proposed matrix co-factorization algorithm computes the score of each document sentence and user post and extracts the top ranked document sentences and comments (or tweets) as a summary. We apply the model to the task of summarization on three datasets in two languages, English and Vietnamese, of social context summarization and also on DUC 2004 (a standard corpus of the traditional summarization task). According to the experimental results, our model significantly outperforms the basic matrix factorization and achieves competitive ROUGE-scores with state-of-the-art methods.  相似文献   

Neural embedding-based indices for semantic search     

Fatemeh Lashkari  Ebrahim Bagheri  Ali A. Ghorbani 《Information processing & management》2019,56(3):733-755

Traditional information retrieval techniques that primarily rely on keyword-based linking of the query and document spaces face challenges such as the vocabulary mismatch problem where relevant documents to a given query might not be retrieved simply due to the use of different terminology for describing the same concepts. As such, semantic search techniques aim to address such limitations of keyword-based retrieval models by incorporating semantic information from standard knowledge bases such as Freebase and DBpedia. The literature has already shown that while the sole consideration of semantic information might not lead to improved retrieval performance over keyword-based search, their consideration enables the retrieval of a set of relevant documents that cannot be retrieved by keyword-based methods. As such, building indices that store and provide access to semantic information during the retrieval process is important. While the process for building and querying keyword-based indices is quite well understood, the incorporation of semantic information within search indices is still an open challenge. Existing work have proposed to build one unified index encompassing both textual and semantic information or to build separate yet integrated indices for each information type but they face limitations such as increased query process time. In this paper, we propose to use neural embeddings-based representations of term, semantic entity, semantic type and documents within the same embedding space to facilitate the development of a unified search index that would consist of these four information types. We perform experiments on standard and widely used document collections including Clueweb09-B and Robust04 to evaluate our proposed indexing strategy from both effectiveness and efficiency perspectives. Based on our experiments, we find that when neural embeddings are used to build inverted indices; hence relaxing the requirement to explicitly observe the posting list key in the indexed document: (a) retrieval efficiency will increase compared to a standard inverted index, hence reduces the index size and query processing time, and (b) while retrieval efficiency, which is the main objective of an efficient indexing mechanism improves using our proposed method, retrieval effectiveness also retains competitive performance compared to the baseline in terms of retrieving a reasonable number of relevant documents from the indexed corpus.  相似文献