Search (57 results, page 3 of 3)

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Abstract

The wealth of chemical information on the INSPEC database is easily retrieved using the printed subject indexes to the associated abstract journals. However, this subject indexing is insufficient for machine retrieval, and free-text searching has special difficulties. An easy-to-use retrieval system has been developed which overcomes many problems, especially the retrieval of non-stoichiometric compositions, which are a feature solid-state chemistry. The scheme is limited to inorganic material, but allows flexibility and identification of dopants, interfaces and surfaces or substrates. At the same time, a system has been introduced for the online retrieval of numerical data included in the data base. This has successfully standardized the way in which such data is held for searching, enabling further refinement of searches where numerical information is significant

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Abstract

The 'KeyWords Plus' in the Science Citation Index database represents an approach to combining citation and semantic indexing in describing the document content. This paper explores the similariites or dissimilarities between citation-semantic and analytic indexing. The dataset consisted of over 400 matching records in the SCI and MEDLINE databases on antibiotic resistance in pneumonia. The degree of similarity in indexing terms was found to vary on a scale from completely different to completely identical with various levels in between. The within-document similarity in the 2 databases was measured by a variation on the Jaccard coefficient - the Inclusion Index. The average inclusion coefficient was 0,4134 for SCI and 0,3371 for Medline. The 20 terms occuring most frequently in each database were identified. The 2 groups of terms shared the same terms that consist of the 'intellectual base' for the subject. conceptual similarity was analyzed through scatterplots of matching and nonmatching terms vs. partially identical and broader/narrower terms. The study also found that both databases differed in assigning terms in various semantic categories. Implications of this research and further studies are suggested

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Abstract

A total of 16 classifiers made a subject analysis of a set of books such that some of the books were first classified by the UDC anf then indexed with terms from the General Finnish Subject Headings while another set were processed in the opposite order. Finally books on the same subject were either classifies or indexed. The total number of books processed was 581. A comparison was made of the time required for processing in different situations and of the number of classes or subject headings used. The time figures were compared with corresponding data from the British Library (1972) and the Library of Congress (1990 and 1991). The author finds that the contents analysis requires one third, classification one third and indexing obe third of the time, if the document is both classified and indexed. There was a plausible correlation (o.51) between the length of experience in classification and the decrease in the time required for classing. The average number of UDC numbers was 4,3 and the average number of terms from the list of subject headings was 4,0

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Abstract

When assigning subject headings or index terms to a document, how many terms or phrases should be used to represent the document? The contribution of an indexing phrase to locating and ordering documents can be compared to the contribution of a full-text query to finding documents. The length and number of phrases needed to equal the contribution of a full-text query is the subject of this paper. The appropriate number of phrases is determined in part by the length of the phrases. We suggest several rules that may be used to determine how many subject headings should be assigned, given index phrase lengths, and provide a general model for this process. A difference between characteristics of indexing "hard" science and "social" science literature is suggested.

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Abstract

This article analyses how gender matters are handled in indexing languages. The examples chosen were the Library of Congress Subject Headings (LCSH), the UNESCO Thesaurus (UT) and the European Women's Thesaurus (EWT). The study is based on an analysis of the entries Man/Men and Woman/Women, their subdivisions and established relationship appearing under these entries. Other headings or descriptors are also listed when they allude to men or women but the gender sense occupies only second or third place in the entry, in the shape of an adjective or a second noun. A lack of symmetry, in the treatment of gender is noted, with recommendations being made for equal status for men and women, which should, however, avoid unnecessary enumerations.

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Abstract

The literature on assigned indexing considers three possible viewpoints-the author's viewpoint as evidenced in the title, the users' viewpoint, and the indexer's viewpoint-and asks whether and which of those views should be reflected in an indexer's choice of terms to assign to an item. We study this question empirically, as opposed to normatively. Based on the literature that discusses whose viewpoints should be reflected, we construct a research model that includes those same three viewpoints as factors that might be influencing term assignment in actual practice. In the unique study design that we employ, the records of term assignments made by identified indexers in academic libraries are cross-referenced with the results of a survey that those same indexers completed on political views. Our results indicate that in our setting, variance in term assignment was best explained by indexers' personal political views.

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Abstract

The purpose of the current study has been twofold: (1) to develop a valid methodology for studying indexing consistency in MARC records and, (2) to study such consistency in subject cataloging practice between non-LC libraries and the Library of Congress

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Abstract

Wolfram and Zhang are interested in the effect of different indexing exhaustivity, by which they mean the number of terms chosen, and of different index term distributions and different term weighting methods on the resulting document cluster organization. The Distance Angle Retrieval Environment, DARE, which provides a two dimensional display of retrieved documents was used to represent the document clusters based upon a document's distance from the searcher's main interest, and on the angle formed by the document, a point representing a minor interest, and the point representing the main interest. If the centroid and the origin of the document space are assigned as major and minor points the average distance between documents and the centroid can be measured providing an indication of cluster organization. in the form of a size normalized similarity measure. Using 500 records from NTIS and nine models created by intersecting low, observed, and high exhaustivity levels (based upon a negative binomial distribution) with shallow, observed, and steep term distributions (based upon a Zipf distribution) simulation runs were preformed using inverse document frequency, inter-document term frequency, and inverse document frequency based upon both inter and intra-document frequencies. Low exhaustivity and shallow distributions result in a more dense document space and less effective retrieval. High exhaustivity and steeper distributions result in a more diffuse space.

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Abstract

In this article, the authors analyze the keywords given by authors of scientific articles and the descriptors assigned to the articles to ascertain the presence of the keywords in the descriptors. Six-hundred forty INSPEC (Information Service for Physics, Engineering, and Computing), CAB (Current Agriculture Bibliography) abstracts, ISTA (Information Science and Technology Abstracts), and LISA (Library and Information Science Abstracts) database records were consulted. After detailed comparisons, it was found that keywords provided by authors have an important presence in the database descriptors studied; nearly 25% of all the keywords appeared in exactly the same form as descriptors, with another 21% though normalized, still detected in the descriptors. This means that almost 46% of keywords appear in the descriptors, either as such or after normalization. Elsewhere, three distinct indexing policies appear, one represented by INSPEC and LISA (indexers seem to have freedom to assign the descriptors they deem necessary); another is represented by CAB (no record has fewer than four descriptors and, in general, a large number of descriptors is employed). In contrast, in ISTA, a certain institutional code exists towards economy in indexing because 84% of records contain only four descriptors.

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Abstract

The depth of indexing, the number of terms assigned on average to each document in a retrieval system as entry points, has a significantly effect on the standard retrieval performance measures in modern commercial retrieval systems, just as it did in previous experimental work. Tests on the effect of basic index search, as opposed to controlled vocabulary search, in these real systems are quite different than traditional comparisons of free text searching with controlled vocabulary searching. In modern commercial systems the controlled vocabulary serves as a precision device, since the strucure of the default for unqualified search terms in these systems requires that it do so.

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Date

18. 6.2005 13:16:22

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Abstract

Purpose - To examine the degree of exact and partial match between the assigned descriptors and title keywords of medical theses written in Farsi and submitted for a PhD degree.Design/methodology/approach - A sample population of 506 theses in Pediatrics, Gynecology, Cardiology and Psychiatry was randomly picked out of a total of 909 indexed in the Indexing Department of the Central Library of the Iran University of Medical Science and Health Care Services. The results obtained are compared with those reported for other documents written in Farsi and English. Where applicable, the influence of the foreign language and its structure is commented on.Findings - It is shown that the degree of match between the assigned descriptors and the title keywords is greater than 70 per cent, equaling those reported for Farsi books and Michigan University Library catalogue in USA. It is also shown that the frequency of the match has increased since 1982, indicating that the authors have become more attentive in their choice of title.Research limitations/implications - Detailed analysis of results, however, shows significant differences between the degree of exact match amongst the four categories, with psychiatry theses that use more common terms showing highest exact match findings (50 per cent).Originality/value - This paper highlights the need for a closer collaboration with medical institutions for definition of approved terms and their incorporation in indexation in order to improve findings in various medical categories.

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Date

10. 9.2000 17:38:22