国外主题图和RDF的数据互操作方法研究述评   总被引：1，自引：0，他引：1  

张玉涛 《新世纪图书馆》2009,(5):78-81,87

论文对主题图(Topic Maps)和资源描述框架RDF在语义网模型中的对应关系进行了分析。通过跟踪有关国外对于二者互操作的研究,分别分析了对象映射、语义映射、本体映射的映射方案,最后指出关于两者数据互操作还需要进一步解决的问题。  相似文献   

行业期刊提升选题策划质量的途径——以《中国环境管理》的实践为例     

宋旭  陈瀛  李晨曦 《中国科技期刊研究》2017,28(12):1186-1190

【目的】 探讨行业期刊提升选题策划质量的途径。【方法】 结合《中国环境管理》的实践探索,对行业期刊快速积累选题资源的途径进行了梳理。【结果】 行业期刊应尽可能发挥选题的集聚效应、注重时效性和可读性。《中国环境管理》的稿件质量有较大改善,同时行业影响力逐步提升。【结论】 提升选题策划质量是塑造行业期刊品牌的有效途径。  相似文献   

Improving topic disentanglement via contrastive learning     

《Information processing & management》2023,60(2):103164

With the emergence and development of deep generative models, such as the variational auto-encoders (VAEs), the research on topic modeling successfully extends to a new area: neural topic modeling, which aims to learn disentangled topics to understand the data better. However, the original VAE framework had been shown to be limited in disentanglement performance, bringing their inherent defects to a neural topic model (NTM). In this paper, we put forward that the optimization objectives of contrastive learning are consistent with two important goals (alignment and uniformity) of well-disentangled topic learning. Also, the optimization objectives of contrastive learning are consistent with two key evaluation measures for topic models, topic coherence and topic diversity. So, we come to the important conclusion that alignment and uniformity of disentangled topic learning can be quantified with topic coherence and topic diversity. Accordingly, we are inspired to propose the Contrastive Disentangled Neural Topic Model (CNTM). By representing both words and topics as low-dimensional vectors in the same embedding space, we apply contrastive learning to neural topic modeling to produce factorized and disentangled topics in an interpretable manner. We compare our proposed CNTM with strong baseline models on widely-used metrics. Our model achieves the best topic coherence scores under the most general evaluation setting (100% proportion topic selected) with 25.0%, 10.9%, 24.6%, and 51.3% improvements above the second-best models’ scores reported on four datasets of 20 Newsgroups, Web Snippets, Tag My News, and Reuters, respectively. Our method also gets the second-best topic diversity scores on the dataset of 20Newsgroups and Web Snippets. Our experimental results show that CNTM can effectively leverage the disentanglement ability from contrastive learning to solve the inherent defect of neural topic modeling and obtain better topic quality.  相似文献   

Topic Driven Adaptive Network for cross-domain sentiment classification     

《Information processing & management》2023,60(2):103230

As a hot spot these years, cross-domain sentiment classification aims to learn a reliable classifier using labeled data from a source domain and evaluate the classifier on a target domain. In this vein, most approaches utilized domain adaptation that maps data from different domains into a common feature space. To further improve the model performance, several methods targeted to mine domain-specific information were proposed. However, most of them only utilized a limited part of domain-specific information. In this study, we first develop a method of extracting domain-specific words based on the topic information derived from topic models. Then, we propose a Topic Driven Adaptive Network (TDAN) for cross-domain sentiment classification. The network consists of two sub-networks: a semantics attention network and a domain-specific word attention network, the structures of which are based on transformers. These sub-networks take different forms of input and their outputs are fused as the feature vector. Experiments validate the effectiveness of our TDAN on sentiment classification across domains. Case studies also indicate that topic models have the potential to add value to cross-domain sentiment classification by discovering interpretable and low-dimensional subspaces.  相似文献   

New journals for publishing medical case reports     

Katherine G. Akers 《Journal of the Medical Library Association》2016,104(2):146-149

Because they do not rank highly in the hierarchy of evidence and are not frequently cited, case reports describing the clinical circumstances of single patients are seldom published by medical journals. However, many clinicians argue that case reports have significant educational value, advance medical knowledge, and complement evidence-based medicine. Over the last several years, a vast number (∼160) of new peer-reviewed journals have emerged that focus on publishing case reports. These journals are typically open access and have relatively high acceptance rates. However, approximately half of the publishers of case reports journals engage in questionable or “predatory” publishing practices. Authors of case reports may benefit from greater awareness of these new publication venues as well as an ability to discriminate between reputable and non-reputable journal publishers.  相似文献   

现代思维方式在体育科研选题中的应用     

赖柳明  王善胜 《山东体育学院学报》1995,(2)

以介绍现代思维方式的基本特征，特别是创造性思维的特点为基础，结合多方面的知识和经验，探讨现代思维方式在体育科技研究选题中的应用。体育科技研究选题的方式可分为重复模仿、文献综述、移值嫁接及思索创新等几种主要形式。另外，还应充分注意两个关健环节，即课题的可行性与课题的价值及系统连续性。  相似文献   

浅论民谣在当代的发展   总被引：1，自引：0，他引：1  

张海欣 《宜宾学院学报》2005,5(2):62-63,70

中国民谣历史悠久，发展到当代，有了它新的内容与特色。本文试从时政谣、校园谣、手机谣三大方面对当代民谣的内容加以分类，分析其各自的特点，并从成因、传播、民谣自身的魅力三方面探索当代民谣的繁荣原因。  相似文献   

Integer Linear Programming for Constrained Multi-Aspect Committee Review Assignment     

Karimzadehgan M  Zhai C 《Information processing & management》2012,48(4):725-740

Automatic review assignment can significantly improve the productivity of many people such as conference organizers, journal editors and grant administrators. A general setup of the review assignment problem involves assigning a set of reviewers on a committee to a set of documents to be reviewed under the constraint of review quota so that the reviewers assigned to a document can collectively cover multiple topic aspects of the document. No previous work has addressed such a setup of committee review assignments while also considering matching multiple aspects of topics and expertise. In this paper, we tackle the problem of committee review assignment with multi-aspect expertise matching by casting it as an integer linear programming problem. The proposed algorithm can naturally accommodate any probabilistic or deterministic method for modeling multiple aspects to automate committee review assignments. Evaluation using a multi-aspect review assignment test set constructed using ACM SIGIR publications shows that the proposed algorithm is effective and efficient for committee review assignments based on multi-aspect expertise matching.  相似文献   

教育舆情评析及大学公信力场域之构建——以清华“真维斯楼”舆论话题为例     

张会杰 《复旦教育论坛》2012,10(2):66-70,81

教育舆情是指在公共空间中传播的针对教育问题的公众话语与民意表达,反映着特定时期和地域内较为普遍的社会认知及感受.清华大学“真维斯楼”舆情中,舆论的视野局限与立场的泛道德化倾向明显,不当认知与合理诉求交织显现,公信力场域正在由魅力型向法理型转化.大学的舆情应对能力及制度化水平亟待提高,自觉建立舆情应对机制,积极调整与社会的公共关系,通过大学管理的切实改进,在与社情民意的良性互动中寻求善治,是大学公信力场域构建的应然立场和重要的策略选择.  相似文献   

园林工程概预算教学方法探讨     

韩英 《贵阳金筑大学学报》2013,(3):52-55

通过分析社会对工程造价岗位能力的需求、教学资源、教学对象等三方面对"园林工程概预算"课程的教学需要,通过关心学生发展来提高学生学习积极性,通过引导学生参与学习资料的搜集,采用情景导入法、案例分析法、角色扮演法等教学方法来提高学生的参与度,以提高教学效果。  相似文献