档案学精品资源共享课建设的现状、要求与路径——以广西民族大学为例     

陈勇  王瀚 《档案管理》2020,(3):112-114

档案学精品资源共享课建设应按照高质量的要求,建设"一流的教师队伍、一流的教学内容、一流的教学方法、一流的教材、一流的教学管理",实现优质的网络教学资源共享,促进档案学专业建设,提高教学和人才培养质量。  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   

网络流行语“给力”探析     

陈凌燕 《毕节师范高等专科学校学报》2011,(5):62-66

近来,由于网络的强大号召力,＂给力＂已成为当下网络上的流行语,并不知不觉地从网络走入了社会。拟从＂给力＂产生的语言现象出发,分析其词性,并通过与之相似词的比较分析,探讨＂给力＂广泛传播的原因以及未来的发展前景。  相似文献   

基于虚拟机的Windows Server 2003 OSPF路由实现教学设计     

唐灯平 《四川职业技术学院学报》2011,21(3):123-125

OSPF路由协议是计算机网络技术专业重要的知识点之一,对Windows Server 2003下OSPF路由协议的实现进行了研究,提出了运用虚拟机提供的虚拟平台进行Windows Server 2003下OSPF路由实现教学设计,设计了网络拓扑结构,构建了虚拟网络平台,配置了Windows Server 2003下OSPF路由协议,最终对实训的结果进行了验证.  相似文献   

网络时代加强大学生思想政治教育的思路探析     

吴霞 《巢湖学院学报》2011,13(1):157-160

网络的发展给大学生思想政治教育工作带来机遇的同时,也带来了巨大的挑战,对大学生的世界观、人生观、价值观等都有着重要的影响。高校辅导员必须高度重视和积极应对,努力探寻与新形势相适应的新对策。  相似文献   

Redesigning chat forum for critical thinking in a problem-based learning environment     

Akcell Chii-Chung Chiang  Isaac Pak-Wah Fung 《The Internet and Higher Education》2004,7(4):311-328

Support is needed to promote problem-based learning (PBL) and to enhance critical thinking skills in discussion-based Internet forums. By advancing the capabilities of chat room and forum software, problem-based discussions for learning can be supported further in online learning environments. In this paper, the authors report on MALESAbrain, an intelligent learning tool. The model is built on the notions of threshold and knowledge weight from the discipline of machine learning. The model encourages learners to judge or critically evaluate the solutions posted by others before exploring further knowledge content. The system then sums up the judgment scores as its knowledge weight to pass the thresholds setup for ranking/arranging the learning issues. This constraint design, therefore, becomes a mechanism for critical thinking in a problem-based learning activity. MALESAbrain as a model helps transform the forum and chat room into rich learning discussion environments.  相似文献   

基于网络的英语语法模块教学     

潘平远 《喀什师范学院学报》2006,27(5):97-99

针对大学英语语法教学乏味而无效的现象,结合语用学、系统功能语言学和语言学习认知法等理论,提出了在网络环境下探索英语语法模块教学模式:初级阶段融语法知识于交际能力培养的模块教学;高级阶段融语法知识于语篇欣赏与翻译的模块教学。通过语法模块教学培养学生的语法意识和语法能力,使语言形式更好地服务于意义,以真正提高学生的语言运用能力。  相似文献   

归一化卡诺图及其在时序网络设计中的应用     

黄茂祥 《湖州师范学院学报》1988,(6)

本文论述了触发器的文字激励表和状态控制函数的归一化卡诺图,指出它在求最简时序网络中能够简化设计过程,最后通过序列检测器和多模计数器设计说明归一化卡诺图的实际应用.  相似文献   

Study of CNG/diesel dual fuel engine's emissions by means of RBF neural network     

刘震涛  费少梅 《浙江大学学报(A卷英文版)》2004,5(8):960-965

Great efforts have been made to resolve the serious environmental pollution and inevitable declining of energy resources. A review of Chinese fuel reserves and engine technology showed that compressed natural gas (CNG)/diesel dual fuel engine (DFE) was one of the best solutions for the above problems at present. In order to study and improve the emission performance of CNG/diesel DFE, an emission model for DFE based on radial basis function (RBF) neural network was developed which was a black-box input-output training data model not require priori knowledge. The RBF centers and the connected weights could be selected automatically according to the distribution of the training data in input-output space and the given approximating error. Studies showed that the predicted results accorded well with the experimental data over a large range of operating conditions from low load to high load. The developed emissions model based on the RBF neural network could be used to successfully predict and optimize the emissions performance of DFE. And the effect of the DFE main performance parameters, such as rotation speed, load, pilot quantity and injection timing, were also predicted by means of this model. In resume, an emission prediction model for CNG/diesel DFE based on RBF neural network was built for analyzing the effect of the main performance parameters on the CO, NOx emissions of DFE. The predicted results agreed quite well with the traditional emissions model, which indicated that the model had certain application value, although it still has some limitations, because of its high dependence on the quantity of the experimental sample data.  相似文献   

CALIS与高校数字图书馆网络化的发展模式   总被引：5，自引：0，他引：5  

朱建伟 《邵阳学院学报(社会科学版)》2003,2(3):154-156

文章主要阐述了CALIS在现代信息技术、信息资源共享、文献传递服务、联合编目以及全文数据库信息等方面所具有的优势，及其对高校数字图书馆网络化发展模式所发挥的积极推动作用。  相似文献