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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
94.
Flix de Moya-Anegn Benjamín Vargas-Quesada Zaida Chinchilla-Rodriguez Elena Corera-lvarez Victor Herrero-Solana Francisco J. Munoz-Fernndez 《Information processing & management》2005,41(6):1520-1533
We propose the use of ISI-JCR categories as units of cocitation and measurement for the construction of heliocentric maps. The use of a spatial metaphor allows us to illustrate, analyze and compare domains in terms of the categories and their interconnections or links. We can also move around within the structure of these domains for further analysis, and access the documents associated to the categories and to the links that cocite or relate them. 相似文献
95.
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
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
96.
网络文献及网络文献建设的分析与研究 总被引:2,自引:1,他引:2
分析与研究网络文献特别是全文数据库和电子期刊的现状,指出图书馆应适时调整文信息资源建设的策略,制定实体文献和网络文献相结合的馆藏体系建设方针,并提出建设网络文献的几条建议。 相似文献
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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
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An operational prototype inhomogeneous distributed database system has been built to provide homogeneous access for researchers and managers of science policy to data on research projects held in three countries. The architecture is sufficiently general not only to accommodate additional countries and databases on research projects, but also to provide a general framework for other international collaborative projects aimed at the provision of information. The design exhibits an optimal compromise between sufficient data to satisfy a retrieval request and the minimal data for transmission to maintain the database. 相似文献
99.
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
100.
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