共查询到19条相似文献，搜索用时 125 毫秒
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介绍了跨语言信息检索理论的提出及发展，简介了相关的国际会议；阐述了跨语言信息检索的主要技术方法，并对跨语言信息检索理论应用研究进行了探讨，展望了跨语言信息检索的发展前景。 相似文献
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跨语言信息检索技术应用与进展研究 总被引：2，自引：0，他引：2
本文介绍了跨语言信息检索技术的基本方法和相关的重要国际会议，并对跨语言信息检索的研究热点难点、应用概况、最新的中文的跨语言信息检索系统的研究情况进行了分析，最后提出其发展趋势和应用前景。 相似文献
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信息资源建设与利用分析 总被引：1，自引：0，他引：1
通过对信息资源利用的现状分析，阐述信息检索技术和信息资源共享的重要性，对信息处理、信息存储和信息检索等技术的学习、研究与应用成了当今教育的热点，高校图书馆在文献资源建设方面也加快了数字化的步伐。 相似文献
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从农业学科的属性出发，针对手工检索与计算机检索的特点，提出农业信息检索技术融合研究的必要性。论述了农业信息检索技术融合的几种方式，最后对农业学科信息的融合进行了研究。 相似文献
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有关基于词表的智能信息检索系统的研究 总被引：2，自引：0，他引：2
智能信息检索系统是当今信息检索技术研究的热点问题之一。通过对基于词表知识的智能信息检索系统进行研究，对基于词表知识的表示方法及推理机制做进一步探讨，给出一个基于词表的智能信息检索系统的模型。 相似文献
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数字图书馆多媒体信息检索技术及发展 总被引：4，自引：0，他引：4
讨论了数字图书馆多媒体信息检索中基于内容的文本、图像、音频、视频检索技术，介绍了信息检索的研究方向一智能检索和数据挖掘技术。 相似文献
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分析了数字图书馆中全文检索、基于内容的信息检索和智能信息检索三大信息检索技术的优缺点,并对它们进行了总结和比较。 相似文献
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本文在对国外Web信息检索技术进行分析的基础上,讨论了当前信息检索领域先进检索技术的工作机制和方法,阐述了智能Agent和Web智能信息获取技术的原理和特点介绍了一种新的智能信息获取方法,为进一步满足Web信息检索提供一种个性化、智能化的高效信息检索工具。 相似文献
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《Information processing & management》2019,56(5):1698-1735
With the ever increasing size of the web, relevant information extraction on the Internet with a query formed by a few keywords has become a big challenge. Query Expansion (QE) plays a crucial role in improving searches on the Internet. Here, the user’s initial query is reformulated by adding additional meaningful terms with similar significance. QE – as part of information retrieval (IR) – has long attracted researchers’ attention. It has become very influential in the field of personalized social document, question answering, cross-language IR, information filtering and multimedia IR. Research in QE has gained further prominence because of IR dedicated conferences such as TREC (Text Information Retrieval Conference) and CLEF (Conference and Labs of the Evaluation Forum). This paper surveys QE techniques in IR from 1960 to 2017 with respect to core techniques, data sources used, weighting and ranking methodologies, user participation and applications – bringing out similarities and differences. 相似文献
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Users enter queries that are short as well as long. The aim of this work is to evaluate techniques that can enable information retrieval (IR) systems to automatically adapt to perform better on such queries. By adaptation we refer to (1) modifications to the queries via user interaction, and (2) detecting that the original query is not a good candidate for modification. We show that the former has the potential to improve mean average precision (MAP) of long and short queries by 40% and 30% respectively, and that simple user interaction can help towards this goal. We observed that after inspecting the options presented to them, users frequently did not select any. We present techniques in this paper to determine beforehand the utility of user interaction to avoid this waste of time and effort. We show that our techniques can provide IR systems with the ability to detect and avoid interaction for unpromising queries without a significant drop in overall performance. 相似文献
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《Information processing & management》1999,35(1):1-18
This paper is an interim report on our efforts at NIST to construct an information discovery tool through the fusion of hypertext and information retrieval (IR) technologies. The tool works by parsing a contiguous document base into smaller documents and inserting semantic links between these documents using document–document similarity measures based on IR techniques. The focus of the paper is a case study in which domain experts evaluate the utility of the tool in the performance of information discovery tasks on a large, dynamic procedural manual. The results of the case study are discussed, and their implications for the design of large-scale automatic hypertext generation systems are described. 相似文献
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Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distributed IR in federated digital libraries. This paper introduces a probabilistic framework, called sPLMap, for automatically learning schema mapping rules, based on given instances of both schemas. Different techniques, mostly from the IR and machine learning fields, are combined for finding suitable mapping candidates. Our approach gives a probabilistic interpretation of the prediction weights of the candidates, selects the rule set with highest matching probability, and outputs probabilistic rules which are capable to deal with the intrinsic uncertainty of the mapping process. Our approach with different variants has been evaluated on several test sets. 相似文献
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Jamal Abdul Nasir Iraklis Varlamis Samreen Ishfaq 《Information processing & management》2019,56(5):1605-1617
Searching for relevant material that satisfies the information need of a user, within a large document collection is a critical activity for web search engines. Query Expansion techniques are widely used by search engines for the disambiguation of user’s information need and for improving the information retrieval (IR) performance. Knowledge-based, corpus-based and relevance feedback, are the main QE techniques, that employ different approaches for expanding the user query with synonyms of the search terms (word synonymy) in order to bring more relevant documents and for filtering documents that contain search terms but with a different meaning (also known as word polysemy problem) than the user intended. This work, surveys existing query expansion techniques, highlights their strengths and limitations and introduces a new method that combines the power of knowledge-based or corpus-based techniques with that of relevance feedback. Experimental evaluation on three information retrieval benchmark datasets shows that the application of knowledge or corpus-based query expansion techniques on the results of the relevance feedback step improves the information retrieval performance, with knowledge-based techniques providing significantly better results than their simple relevance feedback alternatives in all sets. 相似文献
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Synchronous collaborative information retrieval (SCIR) is concerned with supporting two or more users who search together at the same time in order to satisfy a shared information need. SCIR systems represent a paradigmatic shift in the way we view information retrieval, moving from an individual to a group process and as such the development of novel IR techniques is needed to support this. In this article we present what we believe are two key concepts for the development of effective SCIR namely division of labour (DoL) and sharing of knowledge (SoK). Together these concepts enable coordinated SCIR such that redundancy across group members is reduced whilst enabling each group member to benefit from the discoveries of their collaborators. In this article we outline techniques from state-of-the-art SCIR systems which support these two concepts, primarily through the provision of awareness widgets. We then outline some of our own work into system-mediated techniques for division of labour and sharing of knowledge in SCIR. Finally we conclude with a discussion on some possible future trends for these two coordination techniques. 相似文献
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Roger A. Grey Author Vitae 《Journal of The Franklin Institute》2004,341(3):197-205
Throughout his distinguished career of over 40 years, Robin Hochstrasser has made significant contributions to several areas of science in the fields of chemical and biochemical physics. He has been at the forefront and made fundamental contributions to the fields of photochemistry, solid-state chemistry, ultra-fast laser spectroscopies, and protein dynamics. He has been a prolific researcher, producing over 560 publications. His work has been characterized by experts in the fields as “a constant stream of experiments of lasting significance” (J. Phys. Chem. 100 (1996) 11791).Robin began his career in the 1960s using a variety of magnetic and electric field measurements to study crystals at low temperatures to understand spin quantization in solids and electron exchanged-mediated energy transfer. This work, described as a “classic contribution” (J. Phys. Chem. 100 (1996) 11791) was the basis for much of the subsequent experimental and theoretical work on the effect of magnetic fields on molecular spectra and on the measurements of dipole moments.In the late 1970s, Robin recognized the power of laser technology for the study of molecules and soon became a leader in the field investigating solid, gas phase, and condensed phase systems. He developed and applied various ultra-fast laser techniques to study the structure and dynamics of complex molecules in liquid phase, chemical, and biochemical reactions. He made seminal contributions to the development of two-dimensional infrared spectroscopy (2D IR) on a time scale of a picosecond or less. This 2D IR spectroscopy measures coupling between two functional groups in a large molecule and can thus be used to measure distances, as for example, two amide carbonyl groups in a peptide molecule. On the ultra-fast timescale, one application of 2D IR is to gain information on the rate of protein folding and unfolding in solution. Some of Robin's greatest contributions to understanding biomolecules are said to be in the experimental studies on the picosecond and femtosecond dynamics of heme proteins. Using techniques he developed he was able to observe the interactions of oxygen, carbon monoxide, and nitric oxide with hemoglobin inside the protein. 相似文献
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《Information processing & management》2003,39(2):215-231
Recent studies suggest that significant improvement in information retrieval performance can be achieved by combining multiple representations of an information need. The paper presents a genetic approach that combines the results from multiple query evaluations. The genetic algorithm aims to optimise the overall relevance estimate by exploring different directions of the document space. We investigate ways to improve the effectiveness of the genetic exploration by combining appropriate techniques and heuristics known in genetic theory or in the IR field. Indeed, the approach uses a niching technique to solve the relevance multimodality problem, a relevance feedback technique to perform genetic transformations on query formulations and evolution heuristics in order to improve the convergence conditions of the genetic process. The effectiveness of the global approach is demonstrated by comparing the retrieval results obtained by both genetic multiple query evaluation and classical single query evaluation performed on a subset of TREC-4 using the Mercure IRS. Moreover, experimental results show the positive effect of the various techniques integrated to our genetic algorithm model. 相似文献