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1.
Searching for patterns in the MeSH vocabulary   总被引:1,自引:0,他引:1  
NLM revises its MeSH vocabulary annually to reflect changes in biomedical literature and the health sciences community. This study tested two hypotheses about NLM's MeSH vocabulary. The first is that new terms are added to MeSH when their broader terms have an increased number of postings. One examination compared the number of postings for the broader terms of new and existing terms in the current MEDLINE file; the other compared them over time. No significant statistical difference was found in either case. A second hypothesis--that there is a relationship between the patterns of MEDLINE indexing and searching and the organization of the MeSH tree structure--was tested by comparing the distribution of searched terms in the MeSH trees with the distribution of all terms. It was found that certain trees are searched more often than could be predicted by the overall term distribution, while others are searched less frequently than expected. In summary, (1) new terms cannot be predicted by the increase in postings of existing terms, and (2) searchers' and indexers' use of the terms' tree structure does not correlate with the terms' distribution in the MeSH trees.  相似文献   

2.
The amount of health information available on the Internet is considerable. In this context, several health gateways have been developed. Among them, CISMeF (Catalogue and Index of Health Resources in French) was designed to catalogue and index health resources in French. The goal of this article is to describe the various enhancements to the MeSH thesaurus developed by the CISMeF team to adapt this terminology to the broader field of health Internet resources instead of scientific articles for the medline bibliographic database. CISMeF uses two standard tools for organizing information: the MeSH thesaurus and several metadata element sets, in particular the Dublin Core metadata format. The heterogeneity of Internet health resources led the CISMeF team to enhance the MeSH thesaurus with the introduction of two new concepts, respectively, resource types and metaterms. CISMeF resource types are a generalization of the publication types of medline. A resource type describes the nature of the resource and MeSH keyword/qualifier pairs describe the subject of the resource. A metaterm is generally a medical specialty or a biological science, which has semantic links with one or more MeSH keywords, qualifiers and resource types. The CISMeF terminology is exploited for several tasks: resource indexing performed manually, resource categorization performed automatically, visualization and navigation through the concept hierarchies and information retrieval using the Doc'CISMeF search engine. The CISMeF health gateway uses several MeSH thesaurus enhancements to optimize information retrieval, hierarchy navigation and automatic indexing.  相似文献   

3.
Nursing and allied health libraries at educational institutions in Norway have generally indexed their book collections with uncontrolled terms. With the reorganization of higher education in 1994, the majority of these libraries joined BIBSYS, which is a joint library system for higher education and research in Norway. This has led to chaos when searching the joint catalogue for literature on nursing and related fields. A term such as 'behaviour problems' may have up to five synonyms. In an attempt to improve the quality of searching the health literature, BIBSYS appointed a working group in the Spring of 1999 to find a suitable controlled vocabulary for this subject area, and to see how this vocabulary could be integrated into BIBSYS. The group presented its recommendations in October 1999. The report has been well received by the BIBSYS Board and by user groups. There are no Norwegian vocabularies that are suitable for use in nursing and allied health, therefore it will be necessary to translate and combine existing thesauri. The group has looked at the Nordic Multilingual Thesaurus on Health Promotion, the Swedish Spriline Thesaurus, MeSH (Medical Subject Headings) and CINAHL Subject Heading List. Other relevant thesauri are AMED/CATS Thesaurus, Bioethics Thesaurus (Bioethicsline) and the RCN thesaurus. The group recommends the development of a Norwegian thesaurus based on a translation of parts of MeSH and CINAHL Subject Heading List.  相似文献   

4.
This paper examines the terminology introduced in the Third Edition of the Diagnostic and Statistical Manual (DSM-111) of the American Psychiatric Association in relation to the thesaurus terms available in Medical Subject Headings (MeSH) and The Thesaurus of Psychological Index Terms.  相似文献   

5.
Thepractice of evidence-based health care requires that information on methodology be identifiedfrom databases such as MEDLINE. Up until this year there have been no designated medicalsubject headings (MeSH) for evidence-based health care. ‘EVIDENCE-BASEDMEDICINE’ appears as a MeSH term from 1997. The absence of designated MeSH forthis concept prior to 1997 provides a challenge to the searcher. This paper describes the creationof a MEDLINE search strategy to retrieve articles on the methods of evidence-based health carepublished prior to the introduction of the new term, where an optimal combination of free-textand MeSH terms is required to identify relevant material. The study examines both free-text andsubject heading searching and attempts an optimal balance of sensitivity and specificity. It beginsby examining separate free-text and subject heading searches. Sensitivity of the subject headingsearch was 33% and specificity 80%, while the free-text search produced asensitivity of 50% and a specificity of 67%. The final strategy, combining bothapproaches, was more successful with sensitivity reaching between 82 and 90% andspecificity 83%. It is therefore possible to devise a search strategy to retrieve articles on themethods of evidence-based health care with relatively successful rates of sensitivity andspecificity. The limitations of MEDLINE, however, necessitate the use of additional approachesin identifying articles on the methods of evidence-based health care.  相似文献   

6.
Objectives: This study compared the mapping of natural language patron terms to the Medical Subject Headings (MeSH) across six MeSH interfaces for the MEDLINE database.Methods: Test data were obtained from search requests submitted by patrons to the Library of the Health Sciences, University of Illinois at Chicago, over a nine-month period. Search request statements were parsed into separate terms or phrases. Using print sources from the National Library of Medicine, Each parsed patron term was assigned corresponding MeSH terms. Each patron term was entered into each of the selected interfaces to determine how effectively they mapped to MeSH. Data were collected for mapping success, accessibility of MeSH term within mapped list, and total number of MeSH choices within each list.Results: The selected MEDLINE interfaces do not map the same patron term in the same way, nor do they consistently lead to what is considered the appropriate MeSH term.Conclusions: If searchers utilize the MEDLINE database to its fullest potential by mapping to MeSH, the results of the mapping will vary between interfaces. This variance may ultimately impact the search results. These differences should be considered when choosing a MEDLINE interface and when instructing end users.  相似文献   

7.
[目的/意义] 对阿尔茨海默病(AD)进行基因-疾病关联挖掘,以捕捉潜力研究方向。[方法/过程] 基于LBD理论构建开放式知识发现架构,结合MeSH词表、DisGeNET等医学术语、组学数据对PubMed中AD文献进行知识挖掘,采用关联规则与算法排序等方法对部分基因重合的强关联主题共现疾病和优先候选基因进行筛选,结合时间切片和其他LBD工具对比加以验证。[结果/结论] 对88 334篇AD文献进行基因-疾病识别,并与2 120种AD基因进行匹配;以XYZ分析视角对识别出的992种主题共现疾病及11 899种候选基因进行关联排序;精炼10种强关联疾病与25种优选候选基因,结合文献报道加以论述。通过LBD挖掘目标疾病-共现疾病-基因之间潜在关联,可快速捕捉潜力研究方向,缩小基因测序范围,为新研究假设的生成提供重要指导依据。  相似文献   

8.
9.
数据驱动下,与日俱增的电子政务信息资源愈发表现出多源异构的特性,基于大规模语料设计一套电子政务领域内中文术语深度层次关系的自动化识别方案,不仅有利于从内容与结构层面弥补人工构建领域词表的不足,且对于我国政务信息资源的开放共享与后续应用更具有重大现实意义。因此,本文分别基于内容与结构双重视角识别电子政务主题词表内术语间的深层关联,通过谱聚类生成的基于内容的层次关系为初步框架,凭借形式概念分析生成的基于结构的层次关系为后期修正指导,以期构成兼顾关联术语召回率与准确率的电子政务领域术语本体。研究结果显示,电子政务术语本体的层次结构合理有效,且术语层次关系的评价结果表明知识本体具备良好的扩展性和延伸性。  相似文献   

10.
BACKGROUND: EUROETHICS is a database covering European literature on ethics in medicine. It is produced within Eurethnet, a European information network on ethics in medicine and biotechnology. OBJECTIVES: The aim of Euroethics is to disseminate information on European bioethical literature that may otherwise be difficult to find. METHODS: A collaboration model for pooling data from different centres was developed. The policy was to accomplish data uniformity, while still allowing for local differences in terms of software, indexing practices and resources. Records contributed to the database follow common standards in terms of data fields and indexing terms. The indexing terms derive from two thesauri, Thesaurus Ethics in the Life Sciences (TELS) and Medical Subject Headings (MeSH). Combining elements from search tools developed previously, the developers sought to find a technical solution optimized for this data model. An approach relying on a thesaurus database that is loaded along with the bibliographic database is described. RESULTS AND CONCLUSIONS: The present case study offers examples of possible approaches to several tasks often encountered in database development, such as: merging data from diverse sources, getting the most out of indexing terms used in a database, and handling more than one thesaurus in the same system.  相似文献   

11.
Indexing consistency in MEDLINE   总被引:3,自引:0,他引:3  
The quality of indexing of periodicals in a bibliographic data base cannot be measured directly, as there is no one "correct" way to index an item. However, consistency can be used to measure the reliability of indexing. To measure consistency in MEDLINE, 760 twice-indexed articles from 42 periodical issues were identified in the data base, and their indexing compared. Consistency, expressed as a percentage, was measured using Hooper's equation. Overall, checktags had the highest consistency. Medical Subject Headings (MeSH) and subheadings were applied more consistently to central concepts than to peripheral points. When subheadings were added to a main heading, consistency was lowered. "Floating" subheadings were more consistent than were attached subheadings. Indexing consistency was not affected by journal indexing priority, language, or length of the article. Terms from MeSH Tree Structure categories A, B, and D appeared more often than expected in the high-consistency articles; whereas terms from categories E, F, H, and N appeared more often than expected in the low-consistency articles. MEDLINE, with its excellent controlled vocabulary, exemplary quality control, and highly trained indexers, probably represents the state of the art in manually indexed data bases.  相似文献   

12.
13.
This paper describes the construction of a synonym thesaurus or entry vocabulary for the SUNY Biomedical Communication Network, which will permit the user greater ease of access to the MeSH-indexed material without previously consulting a printed list of indexing terms. In order to discover the actual terminology used by a researcher, words were extracted from titles of articles appearing in Index Medicus, and compared with the subject heading under which they appeared. As well as strict synonyms, grammatical variants were also included. Work is continuing on relating other indexing vocabularies, such as Excerpta Medica and Current Medical Terminology, used in the biomedical world to MeSH terms.  相似文献   

14.
[目的/意义] 从术语释义角度出发,探讨叙词表编制过程中词间关系的构建方法。[方法/过程] 叙词表的词间关系主要有等同关系、等级关系和相关关系三种。从术语释义角度出发,对术语释义模式进行分析,并提出基于术语释义分析获取等同关系、等级关系和相关关系的方法。最后,从术语的多义性和释义的可变性对该方法进行讨论。[结果/结论] 通过术语释义获取词间关系,能够使词间关系更符合逻辑,有利于叙词表进行语义控制。  相似文献   

15.
从词表规模、词表结构、词汇性能三个方面对我国11部经过不同程度修订的叙词表进行统计分析,并对40年来我国叙词表的修订情况进行简要概述,以便于了解我国叙词表修订的状况、水平和存在的问题,为今后叙词表编制或修订提供参考。  相似文献   

16.
In this paper, we propose a new term dependence model for information retrieval, which is based on a theoretical framework using Markov random fields. We assume two types of dependencies of terms given in a query: (i) long-range dependencies that may appear for instance within a passage or a sentence in a target document, and (ii) short-range dependencies that may appear for instance within a compound word in a target document. Based on this assumption, our two-stage term dependence model captures both long-range and short-range term dependencies differently, when more than one compound word appear in a query. We also investigate how query structuring with term dependence can improve the performance of query expansion using a relevance model. The relevance model is constructed using the retrieval results of the structured query with term dependence to expand the query. We show that our term dependence model works well, particularly when using query structuring with compound words, through experiments using a 100-gigabyte test collection of web documents mostly written in Japanese. We also show that the performance of the relevance model can be significantly improved by using the structured query with our term dependence model.
Koji EguchiEmail:
  相似文献   

17.
This paper discusses concepts and terminology of some aspects of the autoimmune and rheumatic disorders as related to medical reference work. Details of anatomic, biochemical, and pathologic processes are not discussed. Knowledge of the specific terminology involved in this area may help to ensure a good approach to developing prudent strategies for database searching of the medical literature and, therefore, is reviewed. MeSH thesaurus terms are shown and textword synonyms are presented that provide tools for thorough searching techniques. Commonly used medical jargon as well as older terminology for this area is also explained. Examples of specific search strategies are illustrated.  相似文献   

18.
基于RDF的叙词表研究   总被引:19,自引:4,他引:15  
毛军 《情报学报》2003,22(2):163-168
叙词表在网络中的存在以分布式的叙词关系单元为基础 ,在RDF提供的框架中提供对资源对象的标引和检索服务。XML和RDF对叙词的定义区别在语法和语义上 ,将叙词抽象为概念和词汇两个层次 ,概念之间的关系简化为相关和从属。在客户器 服务器模式下介绍RDF模式传递叙词条目的方法。最后介绍RDF方式的叙词和DC(都柏林核心集 )结合和语义网络 (SEMANTICWEB)两个具体应用。  相似文献   

19.
雷晓  常春  刘伟 《图书情报工作》2019,63(20):121-128
[目的/意义]为增强叙词表实用性,需要不断地将领域中出现的新术语更新到叙词表中,更新维护过程中,从时间及词频等角度对新术语分布特征进行探索研究,可以为新术语发现方法提供参考。[方法/过程]基于新术语相关特征,结合对应文档频率在时间点和时间段上的发展分布,通过相关统计分析,研究术语在不同成长时期的分布特征,尤其界定术语在开始期与成长期的分布差异。[结果/结论]实证分析表明新术语一般处于术语发展的成长期,当候选新术语保持正向增长趋势超过一定年限,可以认为该术语同时具有新颖性、时间持续性及术语性特征。基于该分布特征进行领域新术语的识别,结合词表编制专家的判断,该方法在新术语收录判断中具有较高的准确率,且能有效识别实际应用中占比较多的低频词。  相似文献   

20.
Terminology used by health professionals in everyday written discourse was compared with terminology in a standardized medical vocabulary, the Medical Subject Headings (MeSH). Fifty written hospital charts were selected at random and analyzed by a computer program that identified MeSH terms in the charts. The charts were analyzed against two related MeSH vocabularies--one containing MeSH terms and one containing both MeSH terms and backwards cross-reference terms. When small words such as articles and prepositions were disregarded, approximately 50% of the words in a medical chart were found to be MeSH-related terminology. In addition, about 40% of MeSH-related words in the charts were either MeSH terms or backwards cross-reference terms.  相似文献   

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