谈谈如何讲授邓小平哲学理论的基本特征问题

当前无论学届的理论研讨抑或“两课”的教学实践，皆因偏离有中国特色社会主义建设的实践，将考察邓小平哲学理论基本特征的参照系误置，从而产生诸多认识误区；并以马克思主义哲学与当代中国实践相契合为理论支点，在廓清各种认识误区的同时，闸明了如何讲授邓小平哲学理论四个基本特征(实践性、真理性、超越性和总括性)所应注意的理论问题和具体要求；从世界观高度表征了马克思主义哲学理论“与时促进的理论品质”和逐步中国化的必然走势；按“三个代表”的总体要求，凸现了邓小平哲学理论是马克思主义哲学中国化的新形态，代表了当代中国先进文化(尤其是哲学发展的)前进方向。     

地方院校馆藏文献信息资源建设探讨

通过分析地方院校的形势,提出加强馆藏文献信息资源建设应制定建设目标和原则,妥善处理好印刷型文献与电子资源的关系,积极吸收专业教师参与馆藏文献信息资源建设,建设较高质量的馆藏书目数据库,整合各种馆藏文献信息资源.     

对高校文献检索课教学的再认识

“文检课”教学,必须改变教学观念,提高重视程度;改革教学内容,提高学生利用数字资源的能力;改变实习方式,培养学生的检索能力和创新能力。     

基于网络的文献知识发现系统研究

本文分析了对网络文献知识发现系统的基本要求，介绍了知识发现系统的一般结构，提出用移动多智能系统构建基于网络的文献知识发现系统的观点，讨论了有关网络文献知识发现系统的评价方法。     

增强《文检课》教学中学生的情报意识

文章从文献检索知识的传授与情报意识的树立及高教改革的战略与情报检索意识的强化两个方面进行了论述。     

网络环境下我国高校图书馆文献资源建设策略初探

本文立足于我国信息网络建设的实践。探讨了网络环境下高校图书馆的文献资源建设问题,其中主要分析研究了文献采集和数据库建设这两个方面所面临的问题及其对策.     

期刊作者的量化研究

本文讨论了科技期刊论文作者的几个代表性的量化规律:诸如洛特卡定律以及广义洛特卡定律;普莱斯定律,加之为了使该定律达到实用目的的必要修正与改进。文章还论述了著述合作的问题,并拟合出期刊论文作者合作度的有理整函数通式。     

Summarizing Similarities and Differences Among Related Documents

In many modern information retrieval applications, a common problem which arises is the existence of multiple documents covering similar information, as in the case of multiple news stories about an event or a sequence of events. A particular challenge for text summarization is to be able to summarize the similarities and differences in information content among these documents. The approach described here exploits the results of recent progress in information extraction to represent salient units of text and their relationships. By exploiting meaningful relations between units based on an analysis of text cohesion and the context in which the comparison is desired, the summarizer can pinpoint similarities and differences, and align text segments. In evaluation experiments, these techniques for exploiting cohesion relations result in summaries which (i) help users more quickly complete a retrieval task (ii) result in improved alignment accuracy over baselines, and (iii) improve identification of topic-relevant similarities and differences.     

Improving document clustering in a learned concept space

Most document clustering algorithms operate in a high dimensional bag-of-words space. The inherent presence of noise in such representation obviously degrades the performance of most of these approaches. In this paper we investigate an unsupervised dimensionality reduction technique for document clustering. This technique is based upon the assumption that terms co-occurring in the same context with the same frequencies are semantically related. On the basis of this assumption we first find term clusters using a classification version of the EM algorithm. Documents are then represented in the space of these term clusters and a multinomial mixture model (MM) is used to build document clusters. We empirically show on four document collections, Reuters-21578, Reuters RCV2-French, 20Newsgroups and WebKB, that this new text representation noticeably increases the performance of the MM model. By relating the proposed approach to the Probabilistic Latent Semantic Analysis (PLSA) model we further propose an extension of the latter in which an extra latent variable allows the model to co-cluster documents and terms simultaneously. We show on these four datasets that the proposed extended version of the PLSA model produces statistically significant improvements with respect to two clustering measures over all variants of the original PLSA and the MM models.     

地方文献学学科建设研究综述

就学者们对地方文献学有关基础理论的研究、地方文献学的学科性质、研究内容、研究方法、研究体系以及与相关学科的关系等方面的理论文章进行归纳总结,分析和揭示地方文献学的理论研究现状和进展动态,以期促进和推动地方文献学的学科建设,使这一学科逐渐成熟。