关于控制《中图法》类目体系深度的分析   总被引：2，自引：0，他引：2  

周红雁 《现代情报》2006,26(3):14-15,18

类目划分层次过于深入，无益于读者的检索，不利于分类法类目体系的稳定发展．也培文献分类标引增加了不必要的难度。本文分析了《中图法》类目划分的现状，探讨了其弊端，并对控制《中图法》类目体系深度的方法提出了具体的建议。  相似文献   

基于知识图谱的管理学理论前沿分析   总被引：1，自引：0，他引：1  

陈悦  王续琨郑刚 《科学学研究》2007,25(A01):22-28

管理学（management）是研究管理活动基本问题的学科。在科学学科演进发展史上,管理学是一门较为活跃的学科,其理论不断翻新,层出不穷。以10种管理学代表性期刊所载论文的引文数据为分析对象,运用作品共被引、关键词共现和科学知识图谱方法,揭示管理学依次形成的三大主导理论——组织行为理论、组织结构理论和战略管理理论,并确认了当前的学科理论前沿。  相似文献   

MARC的发展研究   总被引：13，自引：0，他引：13  

陈俊华 《情报理论与实践》2001,24(4):276-278

By discussing the composition of MARC and its new form that is based on SGML or XML, the author thinks that MARC inherits from and develops with the progress of computer technology.  相似文献   

Color image retrieval technique based on color features and image bitmap     

Tzu-Chuen Lu  Chin-Chen Chang 《Information processing & management》2007

The field of color image retrieval has been an important research area for several decades. For the purpose of effectively retrieving more similar images from the digital image databases, this paper uses the color distributions, the mean value and the standard deviation, to represent the global characteristics of the image. Moreover, the image bitmap is used to represent the local characteristics of the image for increasing the accuracy of the retrieval system. As the experimental results indicated, the proposed technique indeed outperforms other schemes in terms of retrieval accuracy and category retrieval ability. Furthermore, the total memory space for saving the image features of the proposed method is less than Chan and Liu’s method.  相似文献   

Automatic ranking of information retrieval systems using data fusion     

Rabia Nuray  Fazli Can 《Information processing & management》2006

Measuring effectiveness of information retrieval (IR) systems is essential for research and development and for monitoring search quality in dynamic environments. In this study, we employ new methods for automatic ranking of retrieval systems. In these methods, we merge the retrieval results of multiple systems using various data fusion algorithms, use the top-ranked documents in the merged result as the “(pseudo) relevant documents,” and employ these documents to evaluate and rank the systems. Experiments using Text REtrieval Conference (TREC) data provide statistically significant strong correlations with human-based assessments of the same systems. We hypothesize that the selection of systems that would return documents different from the majority could eliminate the ordinary systems from data fusion and provide better discrimination among the documents and systems. This could improve the effectiveness of automatic ranking. Based on this intuition, we introduce a new method for the selection of systems to be used for data fusion. For this purpose, we use the bias concept that measures the deviation of a system from the norm or majority and employ the systems with higher bias in the data fusion process. This approach provides even higher correlations with the human-based results. We demonstrate that our approach outperforms the previously proposed automatic ranking methods.  相似文献   

Best entry points for structured document retrieval—Part II: Types,usage and effectiveness     

Jane Reid  Mounia Lalmas  Karen Finesilver  Morten Hertzum 《Information processing & management》2006

Structured document retrieval makes use of document components as the basis of the retrieval process, rather than complete documents. The inherent relationships between these components make it vital to support users’ natural browsing behaviour in order to offer effective and efficient access to structured documents. This paper examines the concept of best entry points, which are document components from which the user can browse to obtain optimal access to relevant document components. It investigates at the types of best entry points in structured document retrieval, and their usage and effectiveness in real information search tasks.  相似文献   

基于ART神经网络的中文文档分类识别方法研究     

王红 《情报理论与实践》2006,29(5):629-631,523

为了提高信息查询的效率，本文将自适应谐振神经网络引入中文文档搜索分类之中。在讨论自适应谐振神经网络基本原理的基础上，提出一种新的中文文档的层次聚类算法，从而提高中文文档的分类识别效率。  相似文献   

空间密度聚类在数字图书馆图像检索中的应用     

王华秋  王重阳  聂珍 《现代情报》2016,36(2):129-134

图像聚类为数字图书馆图像管理提供了新的技术支持,能够在大量图像数据中发掘使用户感兴趣的信息。传统应用于图像聚类的特征提取算法往往忽略图像颜色的空间分布信息,且适应性较差。通过等面积矩形环对图像进行划分并计算各空间区域的相关性,并根据空间区域相关性计算各区域的重要性,将空间信息与颜色信息进行融合。同时对快速搜索密度峰值聚类算法的截断距离进行了合理改进,在保证聚类精度的同时提高收敛速度。最后将该密度聚类算法应用于数字图书馆图像检索之中。通过实验验证,本文提出的方法是可行的、有效的。  相似文献   

XMage: An image retrieval method based on partial similarity     

Chang-Ryong Kim  Chin-Wan Chung 《Information processing & management》2006

XMage is introduced in this paper as a method for partial similarity searching in image databases. Region-based image retrieval is a method of retrieving partially similar images. It has been proposed as a way to accurately process queries in an image database. In region-based image retrieval, region matching is indispensable for computing the partial similarity between two images because the query processing is based upon regions instead of the entire image. A naive method of region matching is a sequential comparison between regions, which causes severe overhead and deteriorates the performance of query processing. In this paper, a new image contents representation, called Condensed eXtended Histogram (CXHistogram), is presented in conjunction with a well-defined distance function CXSim() on the CX-Histogram. The CXSim() is a new image-to-image similarity measure to compute the partial similarity between two images. It achieves the effect of comparing regions of two images by simply comparing the two images. The CXSim() reduces query space by pruning irrelevant images, and it is used as a filtering function before sequential scanning. Extensive experiments were performed on real image data to evaluate XMage. It provides a significant pruning of irrelevant images with no false dismissals. As a consequence, it achieves up to 5.9-fold speed-up in search over the R*-tree search followed by sequential scanning.  相似文献   

CALIS省级中心建设模式研究——以海南高校文献信息资源共享体系为例     

王贤芬  钟哲辉 《现代情报》2007,27(10):46-48

本文以海南高校文献信息资源共享体系为例，依据CALIS省中心的总体目标以及所提供的各种资源条件，介绍CALLS海南省中心资源平台与检索平台建设．区域性文献信息资源共建、共享体系框架、模式、结构等内容，希望能为CALIS省级中心的建设开辟一个新的方向与研究领域。  相似文献