Search (83 results, page 1 of 5)

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Abstract

Structured abstracts are abstracts which include subheadings such as: background, aims, participants methods and results. These are rapidly replacing traditional abstracts in medical periodicals, but the number and detail of the subheadings used varies, and there is a range of different typographic settings. Reviews a number of studies designed to investigate readers' preferences for different typographic settings and layout. Over 400 readers took part in the study: students; postgraduates; research workers and academics in the social sciences. The most preferred version emerged from the last of 3 studies and 2 additional studies were then carried out to determine preferences for the overall position and layout of this most preferred version on a A4 page. The most preferred version for the setting of the subheadings are printed in bold capital letters

Source

Journal of information science. 22(1996) no.1, S.27-37

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a

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Abstract

Reports results of 2 studies to determine if structured abstracts offer any advantage to users in terms of whether they are easier to search. In study 1, using a specially prepared electronic database of abstracts in either their original format or the structured format, 52 users were asked to find the answers to 2 questions for each of 8 abstracts in traditional format followed by 2 questions for each of 8 abstracts set in the structured format. Time and error data were recorded automatically. In study 2, using a printed database, 56 users were asked to to find 5 abstracts that reprted a particular kind of study and then find 5 more references that reported another kind of study. In study 1 users performed significantly faster and made fewer errors with structured abstracts but there were some unexplainable practice effects. In study 2, the users again performed significantly faster and made fewer errors with structured abstracts. However, there were asymmetrical transfer effects: users who responded first to the structured abstracts responded more quickly to the following traditional abstracts than did those users who responded first to the traditional abstracts. Nevertheless, the overall findings support the hypothesis that it is easier for user to search structured abstracts than it is to search traditional abstracts

Source

Journal of information science. 22(1996) no.5, S.349-356

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a

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Abstract

Discusses briefly the application of hypertext in library user training with particular reference to a specific hypertext based tutorial designed to teach library school students the basics knowledge of abstracts and abstracting process

Date

27. 1.1996 18:22:06

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a

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Abstract

Reference librarians, who are thoroughly familiar with the purpose, scope and arrangement of abstract periodicals, are uniquely qualified for the task of writing abstracts. The procedures described here offer a relatively simple way for them to write acceptable abstracts from the outset. Although research is being conducted in the area of machine generated abstracts, there wll continue to be a role for human abstractors.

Source

Reference librarian. 1988, no.22, S.297-308

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a

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Source

Grundlagen der praktischen Information und Dokumentation. 3. Aufl. Hrsg.: M. Buder u.a. Bd.1

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Source

Grundlagen der praktischen Information und Dokumentation: ein Handbuch zur Einführung in die fachliche Informationsarbeit. 4. Aufl. Hrsg.: M. Buder u.a

Type

a

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Abstract

Considers the principles of indexing and the intellectual skills involved in order to determine what automatic indexing systems would be required in order to supplant or complement the human indexer. Good indexing requires: considerable prior knowledge of the literature; judgement as to what to index and what depth to index; reading skills; abstracting skills; and classification skills, Illustrates these features with a detailed description of abstracting and indexing processes involved in generating entries for the mechanical engineering database POWERLINK. Briefly assesses the possibility of replacing human indexers with specialist indexing software, with particular reference to the Object Analyzer from the InTEXT automatic indexing system and using the criteria described for human indexers. At present, it is unlikely that the automatic indexer will replace the human indexer, but when more primary texts are available in electronic form, it may be a useful productivity tool for dealing with large quantities of low grade texts (should they be wanted in the database)

Date

9. 2.1997 18:44:22

Type

a

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Abstract

Graph-based ranking algorithms have recently been proposed for single document summarizations and such algorithms evaluate the importance of a sentence by making use of the relationships between sentences in the document in a recursive way. In this paper, we investigate using other related or relevant documents to improve summarization of one single document based on the graph-based ranking algorithm. In addition to the within-document relationships between sentences in the specified document, the cross-document relationships between sentences in different documents are also taken into account in the proposed approach. We evaluate the performance of the proposed approach on DUC 2002 data with the ROUGE metric and results demonstrate that the cross-document relationships between sentences in different but related documents can significantly improve the performance of single document summarization.

Source

Research and advanced technology for digital libraries : 10th European conference, proceedings / ECDL 2006, Alicante, Spain, September 17 - 22, 2006

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Content

Enthält u.a. die Beiträge: BAKER, D.B.: Abstracting and indexing services: past, present, and future; KENNEDY, H.E.: A perspective on fifteen years in the abstracting and indexing field; WEIL, B.H.: Will abstracts survive technological developments? and will "cheaper is better" win out?; KILGOUR, F.G.: Comparative development of abstracting and indexing, and monograph cataloging; ROWLETT, R.J.: Abstracts, who needs them?

Editor

Neufeld, M.L.; Cornog, M.; Sperr, I.L.

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Abstract

Summarizing is the process of reducing the large information size of something like a novel or a scientific paper to a short summary or abstract comprising only the most essential points. Summarizing is frequent in everyday communication, but it is also a professional skill for journalists and others. Automated summarizing functions are urgently needed by Internet users who wish to avoid being overwhelmed by information. This book presents the state of the art and surveys related research; it deals with everyday and professional summarizing as well as computerized approaches. The author focuses in detail on the cognitive pro-cess involved in summarizing and supports this with a multimedia simulation systems on the accompanying CD-ROM

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Abstract

We address the challenge of extracting query biased audio summaries from podcasts to support users in making relevance decisions in spoken document search via an audio-only communication channel. We performed a crowdsourced experiment that demonstrates that transcripts of spoken documents created using Automated Speech Recognition (ASR), even with significant errors, are effective sources of document summaries or "snippets" for supporting users in making relevance judgments against a query. In particular, the results show that summaries generated from ASR transcripts are comparable, in utility and user-judged preference, to spoken summaries generated from error-free manual transcripts of the same collection. We also observed that content-based audio summaries are at least as preferred as synthesized summaries obtained from manually curated metadata, such as title and description. We describe a methodology for constructing a new test collection, which we have made publicly available.

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Abstract

This paper is a review of genre analysis of author abstracts carried out in the area of English for Special Purposes (ESP) since 1990. Given the descriptive character of such analysis, it can be valuable for Information Science (IS), as it provides a picture of the variation in author abstracts, depending an the discipline, culture and language of the author, and the envisaged context. The authors claim that such knowledge can be useful for information professionals who need to revise author abstracts, or use them for other activities in the organization of knowledge, such as subject analysis and control of vocabulary. With this purpose in mind, we summarize various findings of ESP research. We describe how abstracts vary in structure, content and discourse, and how linguists explain such variations. Other factors taken into account are the stylistic and discoursal features of the abstract, lexical choices, and the possible sources of blas. In conclusion, we show how such findings can have practical and theoretical implications for IS.

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Abstract

Despite their changing role, abstracts remain useful in the digital world. Aimed at both information professionals and researchers who work and publish in different fields, this book summarizes the most important and up-to-date theory of abstracting, as well as giving advice and examples for the practice of writing different kinds of abstracts. The book discusses the length, the functions and basic structure of abstracts. A new approach is outlined on the questions of informative and indicative abstracts. The abstractors' personality, their linguistic and non-linguistic knowledge and skills are also discussed with special attention. The process of abstracting, its steps and models, as well as recipient's role are treated with special distinction. Abstracting is presented as an aimed (purported) understanding of the original text, its interpretation and then a special projection of the information deemed to be worth of abstracting into a new text.Despite the relatively large number of textbooks on the topic there is no up-to-date book on abstracting in the English language. In addition to providing a comprehensive coverage of the topic, the proposed book contains novel views - especially on informative and indicative abstracts. The discussion is based on an interdisciplinary approach, blending the methods of library and information science and linguistics. The book strives to a synthesis of theory and practice. The synthesis is based on a large and existing body of knowledge which, however, is often characterised by misleading terminology and flawed beliefs.

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Abstract

The technological revolution is affecting the structure, form and content of documents, reducing the effectiveness of traditional abstracts that, to some extent, are inadequate to the new documentary conditions. Aims to show the directions in which abstracting/abstracts can evolve to achieve the necessary adequacy in the new digital environments. Three researching trends are proposed: theoretical, methodological and pragmatic. Theoretically, there are some needs for expanding the document concept, reengineering abstracting and designing interdisciplinary models. Methodologically, the trend is toward the structuring, automating and qualifying of the abstracts. Pragmatically, abstracts networking, combined with alternative and complementary models, open a new and promising horizon. Automating, structuring and qualifying abstracting/abstract offer some short-term prospects for progress. Concludes that reengineering, networking and visualising would be middle-term fruitful areas of research toward the full adequacy of abstracting in the new electronic age.

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Abstract

Indexing and abstracting are not activities that should be looked upon as ends in themselves. It is the results of these activities that should be evaluated and this can only be done within the context of a particular database, whether in printed or machine-readable form. In this context, the indexing can be judged successful if it allows searchers to locate items they want without having to look at many they do not want. This book intended primarily as a text to be used in teaching indexing and abstracting of Library and information science. It is an immense value to all individuals and institutions involved in information retrieval and related activities, including librarians, managers of information centres and database producers.

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