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Combination of multiple evidences (multiple query formulations, multiple retrieval schemes or systems) has been shown (mostly experimentally) to be effective in data fusion in information retrieval. However, the question of why and how combination should be done still remains largely unanswered. In this paper, we provide a model for simulation and a framework for analysis in the study of data fusion in the information retrieval domain. A rank/score function is defined and the concept of a Cayley graph is used in the design and analysis of our framework. The model and framework have led us to better understanding of the data fusion phenomena in information retrieval. In particular, by exploiting the graphical properties of the rank/score function, we have shown analytically and by simulation that combination using rank performs better than combination using score under certain conditions. Moreover, we demonstrated that the rank/score function might be used as a predictive variable for the effectiveness of combination of multiple evidences.Authors wish to dedicate this paper to the memory of our friend and colleague Professor Jacob Shapiro, who passed away September 2003.Supported in part by the DIMACS NSF grant STC-91-19999 and by NJ Commission.Supported in part by a grant from The City University of New York PSC-CUNY Research Award.  相似文献
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数据仓库技术以及在证券业应用展望   总被引:3,自引:0,他引:3       下载免费PDF全文
首先简要介绍了数据仓库技术,并对其功能和组成进行了描述;然后讲述了证券业的特点及数据仓库在其中的应用前景,最后得出结论:数据仓库技术在证券业有很广阔的应用前景。  相似文献
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We propose a hybrid information retrieval (IR) procedure that builds on two well-known IR approaches: data fusion and query expansion via relevance feedback. This IR procedure is designed to exploit the strengths of data fusion and relevance feedback and to avoid some weaknesses of these approaches. We show that our IR procedure is built on postulates that can be justified analytically and empirically. Additionally, we offer an empirical investigation of the procedure, showing that it is superior to relevance feedback on some dimensions and comparable on other dimensions. The empirical investigation also verifies the conditions under which the use of our IR procedure could be beneficial.  相似文献
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In this paper we evaluate the application of data fusion or meta-search methods, combining different algorithms and XML elements, to content-oriented retrieval of XML structured data. The primary approach is the combination of a probabilistic methods using Logistic regression and the Okapi BM-25 algorithm for estimation of document relevance or XML element relevance, in conjunction with Boolean approaches for some query elements. In the evaluation we use the INEX XML test collection to examine the relative performance of individual algorithms and elements and compare these to the performance of the data fusion approaches.  相似文献
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以作者参与研发的数据与信息共享平台为案例,分析科技期刊与专业学会进行资源共享的意义与可能,重点分析学会与期刊之间可以共享的资源与内容,并以“中国指挥与控制学会海上指挥控制专委会、中国指挥与控制学会火力控制专委会、《指挥控制与仿真》等学会与刊物的虚拟组织资源与数据共享为案例,介绍学会和期刊共享的实践经验与成效.  相似文献
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随着网络规模和应用的迅速扩大,网络安全威胁不断增加,单一的网络安全防护技术已经不能满足需要。网络安全态势感知能够从整体上动态反映网络安全状况并对网络安全的发展趋势进行预测,大数据的特点为大规模网络安全态势感知研究的突破创造了机遇。文章在介绍网络安全态势相关概念和技术的基础上,对利用大数据开展基于多源日志的网络安全态势感知研究进行了探讨。  相似文献
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文章分析关联数据的应用,对比传统信息服务,归纳总结信息服务发展的新动向,即:从资源组织技术来看,出现了从文献资源整合向数据融合与跨界混搭的新发展;从检索技术来看,出现了从分面浏览、高级字段检索向基于对象和关系的语义检索的新发展;从支持第三方和嵌入式服务来看,出现了从开放接口向支持开放数据、开放服务的技术新发展。  相似文献
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从生物信息学领域内的科学数据和科学文献的描述信息出发,分析和总结了几种生物信息学科学数据与文献的相互关联关系。  相似文献
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