A microfilmed information retrieval system

In modern information processing technology there is a significant tendency to connect microfilm and Computer Science Techniques to each other. The purpose of it is to automatize information retrieval systems. Such an automatized system is shown here. It consists of a central computer based on a microprocessor with an external storage disk, a microfilm reader, a CRT terminal and the corresponding interfaces. The data structure handled by the system consists of a societies file and a documents file. The societies file has a hash organization and the documents file is structured as a linked stack.     

MIRS: A machine information retrieval system

This paper describes a multilevel microprocessors-based Information Retrieval computer architecture and its operation. Complex query processing is the key to this design. This is achieved through the Complex Query Analyzer and several Simple Query Processors. The Complex Query Analyzer parses the query and decomposes the complex query in simple queries. Each Simple Query Processor performs operations related to a single key search. Finally a Query Resolver produces the response to the query originally raised. The basic design goals were system modularity, and high degree of parallelism in search operations.     

信息检索远程网络教育系统设计

本文介绍了国外有关信息检索远程网络教育的概况，分析了国内相关领域存在的问题，在此基础上对信息检索远程网络教育系统进行了设计。     

A metastrategy for World-Wide Web information retrieval in clinical medicine

The metastrategy for World-Wide Web information retrieval was presented as an integrated approach to end-user searching in clinical medicine, although its application may be made to any search for WWW information. Certain distinctions, such as between anticipated and unanticipated clinical information needs and between WWW catalogs for retrieving Web sites and WWW databases for retrieving Web pages, were made. These distinctions are important in the end-user strategy because they help maximize the productivity of the WWW for clinicians.     

CALIS数字图书馆资源统一检索系统评价研究

本文对CALLS数字图书馆资源统一检索系统的系统结构和功能特点进行分析评价，提出了其系统存在的问题并对其今后的发展给予几点建议。     

Crowdsourcing interactions: using crowdsourcing for evaluating interactive information retrieval systems

In the field of information retrieval (IR), researchers and practitioners are often faced with a demand for valid approaches to evaluate the performance of retrieval systems. The Cranfield experiment paradigm has been dominant for the in-vitro evaluation of IR systems. Alternative to this paradigm, laboratory-based user studies have been widely used to evaluate interactive information retrieval (IIR) systems, and at the same time investigate users’ information searching behaviours. Major drawbacks of laboratory-based user studies for evaluating IIR systems include the high monetary and temporal costs involved in setting up and running those experiments, the lack of heterogeneity amongst the user population and the limited scale of the experiments, which usually involve a relatively restricted set of users. In this paper, we propose an alternative experimental methodology to laboratory-based user studies. Our novel experimental methodology uses a crowdsourcing platform as a means of engaging study participants. Through crowdsourcing, our experimental methodology can capture user interactions and searching behaviours at a lower cost, with more data, and within a shorter period than traditional laboratory-based user studies, and therefore can be used to assess the performances of IIR systems. In this article, we show the characteristic differences of our approach with respect to traditional IIR experimental and evaluation procedures. We also perform a use case study comparing crowdsourcing-based evaluation with laboratory-based evaluation of IIR systems, which can serve as a tutorial for setting up crowdsourcing-based IIR evaluations.     

Prediction of performance of cross-language information retrieval using automatic evaluation of translation

This study develops regression models for predicting the performance of cross-language information retrieval (CLIR). The model assumes that CLIR performance can be explained by two factors: (1) the ease of search inherent in each query and (2) the translation quality in the process of CLIR systems. As operational variables, monolingual information retrieval (IR) performance is used for measuring the ease of search, and the well-known evaluation metric BLEU is used to measure the translation quality. This study also proposes an alternative metric, weighted average for matched unigrams (WAMU), which is tailored to gauging translation quality for special IR purposes. The data for regression analysis are obtained from a retrieval experiment of English-to-Italian bilingual searches using the CLEF 2003 test collection. The CLIR and monolingual IR performances are measured by average precision score. The result shows that the proposed regression model can explain about 60% of the variation in CLIR performance, and WAMU has more predictive power than BLEU. A back translation method for applying the regression model to operational CLIR systems in real situations is discussed.     

信息门户的编目问题探析

网络学科门户的核心作用之一，是生成描述网络资源的元数据，这些元数据是一个信息门户浏览和查询的基础。因此，构建和维护信息门户最重要的工作就是描述网络资源，即人们所熟悉的“编目”工作，该对这一问题进行了初步探析。     

The implementation of a dictionary as an inverse structure for the information retrieval system in the VINITI RAN DBn

This article describes methods and tools for the implementation of a dictionary (inverse file) as an intrinsic element of an information-retrieval system that is designed for on-line user searches. The methods and tools for increasing the IRS efficiency as a whole and the dictionary in particular are described. The authors discuss the principles of the compilation of stop-word lists and algorithmic verification of vocabulary while generating a dictionary.     

面向信息素质教育的信息检索教学改革

信息检索课在高等院校信息素质教育中发挥着重要的作用,提高信息素质教育水平也是该课程的教学目标。从构建新的教学目标、合理调整教学内容、整合多种现代教学方法、加强与学科专业课程的结合、建立有效的评价体系、提高教师队伍的综合素质6个方面对面向信息素质教育的信息检索课教学改革进行了探讨。     

网络信息检索的未来

网络信息检索在未来的发展表现在以下几个方面:网络检索工具的综合化与专业化;网络检索工具的智能化;检索语言的两极化;对非文本信息检索能力的提高;人工参与检索工具的信息组织;收费网络信息检索工具的兴起.     

医学信息检索在线考试系统

介绍了首都医科大学的在线考试系统,比较分析了学生的考试成绩,指出了在线考试系统的优点及需改进的问题。     

网络环境下的信息检索教学设计

本文在分析网络信息检索教学现状的基础上,探讨了如何在新形势下进一步进行网络信息检索教学改革。主要在教学内容、教学方法及师资建设上进行新的尝试,来提高信息检索教学质量,以适应信息时代发展的需要。     

The architecture of a computerized information retrieval system: Technologies and aids of retrieving in documentary information resources

In the context of system analysis, the architecture of a computerized information retrieval system adjusted to a support professional problem-oriented interactive documentary retrieving is considered. In addition to standard and extended retrieval capabilities, such a system must contain aids for generating and systematizing information files, generating and using components for linguistic support, and aids for estimating and analyzing the results of the retrieval.     

Use of a retrieval algorithm of keypoints in an information system ensuring the frame stability during digitization of archival film footage

One of the main technical tasks of any cinema archives-in which are deposited the movies as film footage-is the digitization of analog content to achieve two main goals, i.e. to provide a termless storage and a secure access to archival film footage Belousov, Vinokur and Vasin. The information contents stored as film footage are very large, many of the films are unique and don't occur in another form; and this storage method makes difficult their access and threatens their existence in unmodified state itself. The film degradation in form of medium shrinkage with aftermodification of geometry in the form of edges' shrinking, bending and bowing of the film surface, and destruction of the emulsion layer degrades the technical quality of the image, and leads to its complete loss. The data presentation in digital form eliminates this disadvantage and increases the accessibility of the film footage, allowing the selective access, including multimedia network, be it TV or Internet.       

Result merging methods in distributed information retrieval with overlapping databases

In distributed information retrieval systems, document overlaps occur frequently among different component databases. This paper presents an experimental investigation and evaluation of a group of result merging methods including the shadow document method and the multi-evidence method in the environment of overlapping databases. We assume, with the exception of resultant document lists (either with rankings or scores), no extra information about retrieval servers and text databases is available, which is the usual case for many applications on the Internet and the Web. The experimental results show that the shadow document method and the multi-evidence method are the two best methods when overlap is high, while Round-robin is the best for low overlap. The experiments also show that [0,1] linear normalization is a better option than linear regression normalization for result merging in a heterogeneous environment.