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文章通过辨析标引概念,比较分析了与之相关的多个文献情报理论的基本问题,试图从理论本质和实践意义上澄清、说明标引理论的基本含义。 相似文献
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分析基于Microsoft Indexing Service创建Web全文检索系统的理由及Microsoft Indexing Service的索引机制,并利用Mi-crosoft Visual C#.NET技术给出一个具体实现方案。 相似文献
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Ann Barrett Melissa Helwig Karen Neves 《Journal of the Medical Library Association》2016,104(2):118-124
Objectives
This study describes the literature of hospital pharmacy and identifies the journals most commonly cited by authors in the field, the publication types most frequently cited, the age of citations, and the indexing access to core journals. The study also looks at differing citation practices between journals with a wide audience compared to a national journal with a focus on regional issues and trends in the field.Method
Cited references from five discipline-specific source journals were collected and analyzed for publication type and age. Two sets were created for comparison. Bradford''s Law of Scattering was applied to both sets to determine the most frequently cited journals.Results
Three-quarters of all cited items were published within the last 10 years (71%), and journal articles were the most heavily cited publication type (n=65,760, 87%). Citation analysis revealed 26 journal titles in Zone 1, 177 journal titles in Zone 2, and the remaining were scattered across 3,886 titles. Analysis of a national journal revealed Zone 1 comprised 9 titles. Comparison of the 2 sets revealed that Zone 1 titles overlapped, with the exception of 2 titles that were geographically focused in the national title.Conclusion
Hospital pharmacy literature draws heavily from its own discipline-specific sources but equally from core general and specialty medical journals. Indexing of cited journals is complete in PubMed and EMBASE but lacking in International Pharmaceutical Abstracts. Gray literature is a significant information source in the field. 相似文献5.
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Current citation-based document retrieval systems generally offer only limited search facilities, such as author search. In order to facilitate more advanced search functions, we have developed a significantly improved system that employs two novel techniques: Context-based Cluster Analysis (CCA) and Context-based Ontology Generation frAmework (COGA). CCA aims to extract relevant information from clusters originally obtained from disparate clustering methods by building relationships between them. The built relationships are then represented as formal context using the Formal Concept Analysis (FCA) technique. COGA aims to generate ontology from clusters relationship built by CCA. By combining these two techniques, we are able to perform ontology learning from a citation database using clustering results. We have implemented the improved system and have demonstrated its use for finding research domain expertise. We have also conducted performance evaluation on the system and the results are encouraging. 相似文献
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从分类标引方法,分类标引专指度、完全度、协调度、一致性和差错率等几个方面叙述了分类标引存在的问题,并提出了改善措施。 相似文献
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数据仓库中数据组织和管理的研究 总被引:2,自引:0,他引:2
本文着重论术了在数据仓库中如何利用索引技术和对数据库管理的划分来组织和管理数据,以达到对数据仓库性能的优化。 相似文献