Journal searching in non-MEDLINE resources on Internet Web sites   总被引：1，自引：0，他引：1  

Lingle VA 《Medical reference services quarterly》1997,16(3):27-43

Internet access to the medical journal literature is absorbing the attention of all relevant parties, i.e., publishers, journal vendors, librarians, commercial providers, government agencies, and end users. Journal content on the Web sites spans the range from advertising and ordering information for the print version, to table of contents and abstracts, to downloadable full text and graphics of articles. The searching parameters for systems other than MEDLINE also differ extensively with a wide variety of features and resulting retrieval. This discussion reviews a selection of providers of medical information (particularly the journal literature) on the Internet, making a comparison of what is available on Web sites and how it can be searched.  相似文献   

Slide-tape library instruction     

Hall VB  Krautheim D  Hansra BS 《Bulletin of the Medical Library Association》1978,66(3):361-362

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The large and fragile community of scientists in India     

Shiva V  Bandyopadhyay J 《Minerva》1980,18(4):575-594

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Circulation vs. Photocopy     

Parker V 《Bulletin of the Medical Library Association》1981,69(2):262

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The literary works of Sir William Osler     

Ward RV 《Osler Library newsletter》1977,(24):1-3

A paper read at the first regular meeting of the Osler Society of McGill University, October 19, 1921.  相似文献   

PRESUPPOSITIONS AND NON-TRUTH-CONDITIONAL SEMANTICS     

R. L. V. HALE 《Philosophical Books》1977,18(1):34-39

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A Basic Program of Bibliographic Instruction<br />In a Health Sciences Library     

Gondek VA  Romanos VM 《Medical reference services quarterly》1983,2(3):83-89

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Multilingual modeling of cross-lingual spelling variants     

Krister Lindén 《Information Retrieval》2006,9(3):295-310

Technical term translations are important for cross-lingual information retrieval. In many languages, new technical terms have a common origin rendered with different spelling of the underlying sounds, also known as cross-lingual spelling variants (CLSV). To find the best CLSV in a text database index, we contribute a formulation of the problem in a probabilistic framework, and implement this with an instance of the general edit distance using weighted finite-state transducers. Some training data is required when estimating the costs for the general edit distance. We demonstrate that after some basic training our new multilingual model is robust and requires little or no adaptation for covering additional languages, as the model takes advantage of language independent transliteration patterns. We train the model with medical terms in seven languages and test it with terms from varied domains in six languages. Two test languages are not in the training data. Against a large text database index, we achieve 64–78 % precision at the point of 100% recall. This is a relative improvement of 22% on the simple edit distance.  相似文献   

Construction of query concepts based on feature clustering of documents     

Youjin Chang  Minkoo Kim  Vijay V. Raghavan 《Information Retrieval》2006,9(3):231-248

In Information Retrieval, since it is hard to identify users’ information needs, many approaches have been tried to solve this problem by expanding initial queries and reweighting the terms in the expanded queries using users’ relevance judgments. Although relevance feedback is most effective when relevance information about retrieved documents is provided by users, it is not always available. Another solution is to use correlated terms for query expansion. The main problem with this approach is how to construct the term-term correlations that can be used effectively to improve retrieval performance. In this study, we try to construct query concepts that denote users’ information needs from a document space, rather than to reformulate initial queries using the term correlations and/or users’ relevance feedback. To form query concepts, we extract features from each document, and then cluster the features into primitive concepts that are then used to form query concepts. Experiments are performed on the Associated Press (AP) dataset taken from the TREC collection. The experimental evaluation shows that our proposed framework called QCM (Query Concept Method) outperforms baseline probabilistic retrieval model on TREC retrieval.  相似文献   

Hierarchical clustering of a Finnish newspaper article collection with graded relevance assessments     

Tuomo Korenius  Jorma Laurikkala  Martti Juhola  Kalervo Järvelin 《Information Retrieval》2006,9(1):33-53

Search facilitated with agglomerative hierarchical clustering methods was studied in a collection of Finnish newspaper articles (N = 53,893). To allow quick experiments, clustering was applied to a sample (N = 5,000) that was reduced with principal components analysis. The dendrograms were heuristically cut to find an optimal partition, whose clusters were compared with each of the 30 queries to retrieve the best-matching cluster. The four-level relevance assessment was collapsed into a binary one by (A) considering all the relevant and (B) only the highly relevant documents relevant, respectively. Single linkage (SL) was the worst method. It created many tiny clusters, and, consequently, searches enabled with it had high precision and low recall. The complete linkage (CL), average linkage (AL), and Ward's methods (WM) returned reasonably-sized clusters typically of 18–32 documents. Their recall (A: 27–52%, B: 50–82%) and precision (A: 83–90%, B: 18–21%) was higher than and comparable to those of the SL clusters, respectively. The AL and WM clustering had 1–8% better effectiveness than nearest neighbor searching (NN), and SL and CL were 1–9% less efficient that NN. However, the differences were statistically insignificant. When evaluated with the liberal assessment A, the results suggest that the AL and WM clustering offer better retrieval ability than NN. Assessment B renders the AL and WM clustering better than NN, when recall is considered more important than precision. The results imply that collections in the highly inflectional and agglutinative languages, such as Finnish, may be clustered as the collections in English, provided that documents are appropriately preprocessed.  相似文献