基于内容的多媒体信息检索在数字图书馆中的应用

本文论述了基于内容的多媒体信息检索在数字图书馆中的应用,指出了存在的问题及其发展趋势,以使数字图书馆中的多媒体信息得以有效管理与充分开发利用。     

数字图书馆中多媒体数据库信息的检索

数字图书馆是一种新概念和新技术,数据类型包括文本、语音、图像、视频等多媒体信息.文章主要介绍了数字图书馆多媒体数据库信息中基于内容的图像、音频、视频检索技术,并阐述多媒体数据库信息检索技术的发展趋势.     

数字化时代的信息检索课多元教学模式设计

文章从数字化时代信息检索课的教学目标、教学资源、学生自主学习、学生协作学习和教师协作活动几个方面,论述了如何构建自主学习与协作学习相结合的信息检索课多元教学模式.     

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。     

基于Agent的数字图书馆个性化信息检索研究

本文具体地剖析了基于分布式(B/S)结构的Agent技术在数字图书馆中的建设应用,并通过对Agent的结构分析和Agent个性化检索体系结构的分析提出了新的基于Agent的个性化信息检索模型。     

An effective and efficient results merging strategy for multilingual information retrieval in federated search environments

Multilingual information retrieval is generally understood to mean the retrieval of relevant information in multiple target languages in response to a user query in a single source language. In a multilingual federated search environment, different information sources contain documents in different languages. A general search strategy in multilingual federated search environments is to translate the user query to each language of the information sources and run a monolingual search in each information source. It is then necessary to obtain a single ranked document list by merging the individual ranked lists from the information sources that are in different languages. This is known as the results merging problem for multilingual information retrieval. Previous research has shown that the simple approach of normalizing source-specific document scores is not effective. On the other side, a more effective merging method was proposed to download and translate all retrieved documents into the source language and generate the final ranked list by running a monolingual search in the search client. The latter method is more effective but is associated with a large amount of online communication and computation costs. This paper proposes an effective and efficient approach for the results merging task of multilingual ranked lists. Particularly, it downloads only a small number of documents from the individual ranked lists of each user query to calculate comparable document scores by utilizing both the query-based translation method and the document-based translation method. Then, query-specific and source-specific transformation models can be trained for individual ranked lists by using the information of these downloaded documents. These transformation models are used to estimate comparable document scores for all retrieved documents and thus the documents can be sorted into a final ranked list. This merging approach is efficient as only a subset of the retrieved documents are downloaded and translated online. Furthermore, an extensive set of experiments on the Cross-Language Evaluation Forum (CLEF) () data has demonstrated the effectiveness of the query-specific and source-specific results merging algorithm against other alternatives. The new research in this paper proposes different variants of the query-specific and source-specific results merging algorithm with different transformation models. This paper also provides thorough experimental results as well as detailed analysis. All of the work substantially extends the preliminary research in (Si and Callan, in: Peters (ed.) Results of the cross-language evaluation forum-CLEF 2005, 2005).

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.     

MPEG-7:数字时代基于多媒体内容的信息检索

数字化网络化导致大量多媒体信息资源的出现,而目前基于关键词的检索方法对于多媒体数据检索显得有些相形见绌,于是基于内容的多媒体信息存取检索技术应运而生。NPEG一7作为一个多媒体内容描述的标准,对多媒体信息进行标准化的描述,从而实现对多媒体内容快速有效的检索。     

项目团队科研人员信息查询行为与创新行为的互动机理

目的：探讨信息查询行为与创新行为的互动机理。方法：采用自行研制的科研人员信息查询行为和创新行为量表,对长治医学院36个科研团队共218名科研人员的信息查询行为和创新行为进行调查,应用描述性分析、t 检验、F 检验等统计学方法分析其互动机理。结果：项目团队科研人员信息查询行为各维度与创新行为、创新意识、创新特质、创新环境相互作用和影响,信息评价对创新行为影响最大,创新行为维度与信息查询行为存在显著相关性,创新特质对信息查询行为影响最大。结论：科研人员的信息查询行为总体与创新行为总体之间具有强相关性,应逐渐提高科研人员信息查询能力、增强其信息素养、创新特质、创新意识和创新能力。     

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。     

Teaching and learning in information retrieval

A literature review of pedagogical methods for teaching and learning information retrieval is presented. From the analysis of the literature a taxonomy was built and it is used to structure the paper. Information Retrieval (IR) is presented from different points of view: technical levels, educational goals, teaching and learning methods, assessment and curricula. The review is organized around two levels of abstraction which form a taxonomy that deals with the different aspects of pedagogy as applied to information retrieval. The first level looks at the technical level of delivering information retrieval concepts, and at the educational goals as articulated by the two main subject domains where IR is delivered: computer science (CS) and library and information science (LIS). The second level focuses on pedagogical issues, such as teaching and learning methods, delivery modes (classroom, online or e-learning), use of IR systems for teaching, assessment and feedback, and curricula design. The survey, and its bibliography, provides an overview of the pedagogical research carried out in the field of IR. It also provides a guide for educators on approaches that can be applied to improving the student learning experiences.     

Modeling score distributions in information retrieval

We review the history of modeling score distributions, focusing on the mixture of normal-exponential by investigating the theoretical as well as the empirical evidence supporting its use. We discuss previously suggested conditions which valid binary mixture models should satisfy, such as the Recall-Fallout Convexity Hypothesis, and formulate two new hypotheses considering the component distributions, individually as well as in pairs, under some limiting conditions of parameter values. From all the mixtures suggested in the past, the current theoretical argument points to the two gamma as the most-likely universal model, with the normal-exponential being a usable approximation. Beyond the theoretical contribution, we provide new experimental evidence showing vector space or geometric models, and BM25, as being ‘friendly’ to the normal-exponential, and that the non-convexity problem that the mixture possesses is practically not severe. Furthermore, we review recent non-binary mixture models, speculate on graded relevance, and consider methods such as logistic regression for score calibration.     

信息检索中"相关性"的探究

本文从“相关性”的动态、多维的内涵出发,探讨了“相关性”的影响因素,即信息源、检索系统、用户、时间与环境,最后得出了“相关性”对建立信息检索系统的一些启示。     

Fusing different information retrieval systems according to query-topics: a study based on correlation in information retrieval systems and TREC topics

To evaluate Information Retrieval Systems on their effectiveness, evaluation programs such as TREC offer a rigorous methodology as well as benchmark collections. Whatever the evaluation collection used, effectiveness is generally considered globally, averaging the results over a set of information needs. As a result, the variability of system performance is hidden as the similarities and differences from one system to another are averaged. Moreover, the topics on which a given system succeeds or fails are left unknown. In this paper we propose an approach based on data analysis methods (correspondence analysis and clustering) to discover correlations between systems and to find trends in topic/system correlations. We show that it is possible to cluster topics and systems according to system performance on these topics, some system clusters being better on some topics. Finally, we propose a new method to consider complementary systems as based on their performances which can be applied for example in the case of repeated queries. We consider the system profile based on the similarity of the set of TREC topics on which systems achieve similar levels of performance. We show that this method is effective when using the TREC ad hoc collection.     

Scenarios in information seeking and information retrieval research: A methodological application and discussion

Scenario has been used as a research tool to study information seeking and information retrieval. This review of the nature and development of scenario use reveals a variety of applications and a number of practical methodological issues. While scenarios have a number of advantages, there are limitations. Consideration of these advantages and challenges leads to recommendations for constructing and presenting scenarios.     

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.