2005-2014年图书情报学4刊发文著者的统计分析     

黄勤 《金陵科技学院学报(社会科学版)》2015,(2)

通过对2005—2014年图书情报学4刊论文著者的统计,对合著率、著者发文规律、高产著者年龄、地区及单位分布进行分析,并归纳国内图书情报学的发展规律。  相似文献   

再议《醒世姻缘传》作者     

甄飒飒 《商丘师范学院学报》2015,(2):91-94

长期以来,学界对《醒世姻缘传》作者多有争议,存疑作者多为山东籍人士。根据书中提到的地理坐标的细节考证,两位河南籍官员"李粹然"和"李纯治"的相关史实与人物原型的考论,和小说提供的其他细节信息,推考出作者应是生活在明末崇祯年间的河南人士。学界以前的说法不能成立。  相似文献   

微信平台与科技期刊作者队伍建设          下载免费PDF全文

李金丽  王薇 《中国科技期刊研究》2015,26(8):901-905

【目的】作者队伍的建设是提升科技期刊质量和学术影响力的重要方法之一。【方法】依托官方微信的优点,介绍了官方微信的建立和维护方法。【结果】 结合多家期刊的办刊实践,通过增加作者对期刊的依赖度、助力作者跟踪学科前沿、加速青年作者的成长和作者队伍的扩大等举措,可以促进期刊作者队伍的建设。【结论】科技期刊在官方微信的建立和维护过程中,可以调动作者的积极性来共同完成,同时依托官方微信的构建,加大对作者队伍的进一步完善建设,形成良性循环。  相似文献   

Meta-Circuit machine: Inferencing human collaborative relationships in heterogeneous information networks     

Xiyue Gao  Jun Chen  Nian Huai 《Information processing & management》2019,56(3):844-857

Human collaborative relationship inference is a meaningful task for online social networks and is called link prediction in network science. Real-world networks contain multiple types of interacting components and can be modeled naturally as heterogeneous information networks (HINs). The current link prediction algorithms in HINs fail to effectively extract training samples from snapshots of HINs; moreover, they underutilise the differences between nodes and between meta-paths. Therefore, we propose a meta-circuit machine (MCM) that can learn and fuse node and meta-path features efficiently, and we use these features to inference the collaborative relationships in question-and-answer and bibliographic networks. We first utilise meta-circuit random walks to obtain training samples in which the basic idea is to perform biased meta-path random walks on the input and target network successively and then connect them. Then, a meta-circuit recurrent neural network (mcRNN) is designed for link prediction, which represents each node and meta-path by a dense vector and leverages an RNN to fuse the features of node sequences. Experiments on two real-world networks demonstrate the effectiveness of our framework. This study promotes the investigation of potential evolutionary mechanisms for collaborative relationships and offers practical guidance for designing more effective recommendation systems for online social networks.  相似文献   

Online visibility of software-related web sites: The case of biomedical text mining tools     

Gael Pérez-Rodríguez  Martín Pérez-Pérez  Florentino Fdez-Riverola  Anália Lourenço 《Information processing & management》2019,56(3):565-583

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A knowledge-based semantic framework for query expansion     

Jamal Abdul Nasir  Iraklis Varlamis  Samreen Ishfaq 《Information processing & management》2019,56(5):1605-1617

Searching for relevant material that satisfies the information need of a user, within a large document collection is a critical activity for web search engines. Query Expansion techniques are widely used by search engines for the disambiguation of user’s information need and for improving the information retrieval (IR) performance. Knowledge-based, corpus-based and relevance feedback, are the main QE techniques, that employ different approaches for expanding the user query with synonyms of the search terms (word synonymy) in order to bring more relevant documents and for filtering documents that contain search terms but with a different meaning (also known as word polysemy problem) than the user intended. This work, surveys existing query expansion techniques, highlights their strengths and limitations and introduces a new method that combines the power of knowledge-based or corpus-based techniques with that of relevance feedback. Experimental evaluation on three information retrieval benchmark datasets shows that the application of knowledge or corpus-based query expansion techniques on the results of the relevance feedback step improves the information retrieval performance, with knowledge-based techniques providing significantly better results than their simple relevance feedback alternatives in all sets.  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   

Cognitive-inspired domain adaptation of sentiment lexicons     

Frank Z. Xing  Filippo Pallucchini  Erik Cambria 《Information processing & management》2019,56(3):554-564

Sentiment lexicons are essential tools for polarity classification and opinion mining. In contrast to machine learning methods that only leverage text features or raw text for sentiment analysis, methods that use sentiment lexicons embrace higher interpretability. Although a number of domain-specific sentiment lexicons are made available, it is impractical to build an ex ante lexicon that fully reflects the characteristics of the language usage in endless domains. In this article, we propose a novel approach to simultaneously train a vanilla sentiment classifier and adapt word polarities to the target domain. Specifically, we sequentially track the wrongly predicted sentences and use them as the supervision instead of addressing the gold standard as a whole to emulate the life-long cognitive process of lexicon learning. An exploration-exploitation mechanism is designed to trade off between searching for new sentiment words and updating the polarity score of one word. Experimental results on several popular datasets show that our approach significantly improves the sentiment classification performance for a variety of domains by means of improving the quality of sentiment lexicons. Case-studies also illustrate how polarity scores of the same words are discovered for different domains.  相似文献   

Organizational justice and management trustworthiness during organizational Change: Interactions of Benevolence,Integrity, and managerial approaches     

Yu Cui  Hao Jiao 《Information processing & management》2019,56(4):1526-1542

Trust and justice play an important role in the process of organizational change to build dynamic capabilities for sustainable competitive advantage. This study investigated the interaction effects of management's benevolence trustworthiness and integrity trustworthiness on employees’ perception of procedural justice during innovation or organizational change. Both the scenario and the field study showed that the patterns of the interaction effects of these two components of trustworthiness are further influenced in a complementary manner by different innovation approaches. The study indicated that the relationships between benevolence trustworthiness and integrity trustworthiness are far more complex than expected and thus need more research efforts.  相似文献   

St Francis of Assisi and Islam: A Theological Perspective on a Christian-Muslim Encounter     

Paul Rout 《Al-Masaq: Islam & the Medieval Mediterranean》2011,23(3):205-215

In 1219 an encounter took place between a Christian from Italy, Francis of Assisi, and the Muslim Sultan of Egypt, al-Malik al-Kāmil. This meeting took place at Damietta in northern Egypt during the progress of the Fifth Crusade. Over a period of perhaps three weeks, religious dialogue took place between Francis and al-Kāmil, after which time the Sultan had Francis escorted safely back to the Christian camp. It is possible to discern from the writings of Francis after his return from Egypt that the meeting had had a deep religious impact upon him, realised in the latter years of his life. It can be said that both Francis and al-Kāmil experienced through their encounter what the Christian theologian Bernard Lonergan has spoken of as a conversion into a new horizon. The historical encounter between Francis and the Sultan witnesses to the fact that through religious conversion, it is possible for members of different religious faiths to arrive at a common vision of universal peace and reconciliation.  相似文献