基于网络的集成化信息检索

集成化信息检索是以信息集成与服务集成为显著特征,以达到知识共享的最大化为目的,实现对由互联网连接起来的数字资源库群的分布式管理及跨平台、跨语种的网络化存取。参考文献7。     

全文电子期刊个性化服务应用研究

全文电子期刊数据库的个性化服务,是指数据库提供者基于Web数据库技术,根据用户特殊要求或特定情况,提供给用户所需的有针对性的信息,或指数据库的这一系统功能。探讨了它的特点和种类。图5。参考文献4。     

又“文献检索与利用”到“信息素质教育”——观念与内容的变化

经过二十多年的“文献检索与利用”教育，高校图书馆在提高了学生查找和利用文献的能力的同时，还培养了一批参考咨询骨干。现在该课程正在经历向“信息素质教育”过渡的阶段。本文在总结了信息素质教育概念的同时，提出了对高校实施信息素质教育需要注意的几个问题和解决方案。     

文献检索课的多媒体教学实践

在文献检索课的授课中使用计算机辅助教学（CAI），对改进教学方式及提高教学质量起到了很好的推动作用。但是，在我们进行的有关计算机辅助教学的问卷调查中发现了一些问题，很值得思考。本文基于此，提出利用课间十分钟来激发学生第二节文献检索课的学习情绪的设想。参考文献4。     

我国信息检索课网络教学调查研究

本文在对我国信息检索课网络教学进行调查统计的基础上,分析我国信息检索课网络教学现状、存在的问题及发展趋势。     

国内外联想式信息检索研究综述

本文通过对国内外联想式信息检索的相关研究进行文献调查，总结国内外联想式信息检索研究的概况和存在的问题，并对未来研究方向进行展望。     

基于利用率的检索结果过滤

由于检索结果过于庞大、无效信息太多,用户难以判断信息质量、发现所需信息。为此引鉴信息过滤的全新理念和按点击率对网络资源进行排序的方法,提出对检索结果按用户使用率进行后续处理的新思路。分析实现的可行性并提供了有关计算公式,对存在的问题也提出相应解决方案。     

数字图书馆都柏林核心集网页文本的知识集成与检索研究

数字图书馆面临着进一步提高信息检索质量的问题,基于都柏林核心集的知识集成和检索能够发挥重要作用。结合Web网页的特点和本体知识,给出一种都柏林核心集网页文本的数据模型。词义扩展的相似匹配是当前知识检索采用的较为实用的方法,基于该模型采用词素匹配的技术并结合词义扩展的信息检索的一些技术,能使信息有效地存储集成和提高信息利用质量,能使开发的知识检索系统有更好的应用性。图1。参考文献7。     

A pipelined architecture for distributed text query evaluation

Two principal query-evaluation methodologies have been described for cluster-based implementation of distributed information retrieval systems: document partitioning and term partitioning. In a document-partitioned system, each of the processors hosts a subset of the documents in the collection, and executes every query against its local sub-collection. In a term-partitioned system, each of the processors hosts a subset of the inverted lists that make up the index of the collection, and serves them to a central machine as they are required for query evaluation. In this paper we introduce a pipelined query-evaluation methodology, based on a term-partitioned index, in which partially evaluated queries are passed amongst the set of processors that host the query terms. This arrangement retains the disk read benefits of term partitioning, but more effectively shares the computational load. We compare the three methodologies experimentally, and show that term distribution is inefficient and scales poorly. The new pipelined approach offers efficient memory utilization and efficient use of disk accesses, but suffers from problems with load balancing between nodes. Until these problems are resolved, document partitioning remains the preferred method. Alistair Moffat was supported by the Australian Research Council, the ARC Special Research Center for Perceptive and Intelligent Machines in Complex Environments, and the NICTA Victoria Laboratory. William Webber and Justin Zobel were supported by the Australian Research Council. Ricardo Baeza-Yates was supported by Grant P01-029-F from Millennium Initiative of Mideplan, Chile; and by the University of Melbourne as a visiting scholar at the time this project was undertaken.     

Searching strategies for the Bulgarian language

This paper reports on the underlying IR problems encountered when indexing and searching with the Bulgarian language. For this language we propose a general light stemmer and demonstrate that it can be quite effective, producing significantly better MAP (around + 34%) than an approach not applying stemming. We implement the GL2 model derived from the Divergence from Randomness paradigm and find its retrieval effectiveness better than other probabilistic, vector-space and language models. The resulting MAP is found to be about 50% better than the classical tf idf approach. Moreover, increasing the query size enhances the MAP by around 10% (from T to TD). In order to compare the retrieval effectiveness of our suggested stopword list and the light stemmer developed for the Bulgarian language, we conduct a set of experiments on another stopword list and also a more complex and aggressive stemmer. Results tend to indicate that there is no statistically significant difference between these variants and our suggested approach. This paper evaluates other indexing strategies such as 4-gram indexing and indexing based on the automatic decompounding of compound words. Finally, we analyze certain queries to discover why we obtained poor results, when indexing Bulgarian documents using the suggested word-based approach.