Search (64 results, page 2 of 4)

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Date

4. 1.2007 10:22:26

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Imprint

Medford, NJ : Learned Information

Source

Forging new partnerships in information: converging technologies. Proceedings of the 58th Annual Meeting of the American Society for Information Science, ASIS'95, Chicago, IL, 9-12 October 1995. Ed.: T. Kinney

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Date

22. 9.1997 19:16:05

Footnote

Bade begins his discussion of errors in subject analysis by summarizing the contents of seven records containing what he considers to be egregious errors. The examples were drawn only from items that he has encountered in the course of his work. Five of the seven records were full-level ("I" level) records for Eastern European materials created between 1996 and 2000 in the OCLC WorldCat database. The final two examples were taken from records created by Bade himself over an unspecified period of time. Although he is to be commended for examining the actual items cataloged and for examining mostly items that he claims to have adequate linguistic and subject expertise to evaluate reliably, Bade's methodology has major flaws. First and foremost, the number of examples provided is completely inadequate to draw any conclusions about the extent of the problem. Although an in-depth qualitative analysis of a small number of records might have yielded some valuable insight into factors that contribute to errors in subject analysis, Bade provides no Information about the circumstances under which the live OCLC records he critiques were created. Instead, he offers simplistic explanations for the errors based solely an his own assumptions. He supplements his analysis of examples with an extremely brief survey of other studies regarding errors in subject analysis, which consists primarily of criticism of work done by Sheila Intner. In the end, it is impossible to draw any reliable conclusions about the nature or extent of errors in subject analysis found in records in shared bibliographic databases based an Bade's analysis. In the final third of the essay, Bade finally reveals his true concern: the deintellectualization of cataloging. It would strengthen the essay tremendously to present this as the primary premise from the very beginning, as this section offers glimpses of a compelling argument. Bade laments, "Many librarians simply do not sec cataloging as an intellectual activity requiring an educated mind" (p. 20). Commenting an recent trends in copy cataloging practice, he declares, "The disaster of our time is that this work is being done more and more by people who can neither evaluate nor correct imported errors and offen are forbidden from even thinking about it" (p. 26). Bade argues that the most valuable content found in catalog records is the intellectual content contributed by knowledgeable catalogers, and he asserts that to perform intellectually demanding tasks such as subject analysis reliably and effectively, catalogers must have the linguistic and subject knowledge required to gain at least a rudimentary understanding of the materials that they describe. He contends that requiring catalogers to quickly dispense with materials in unfamiliar languages and subjects clearly undermines their ability to perform the intellectual work of cataloging and leads to an increasing number of errors in the bibliographic records contributed to shared databases.

Imprint

Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Graduate School of Library and Information Science

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Source

Knowledge organization. 31(2004) no.4, S.245-251

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Abstract

Reports results of a study of 2 information retrieval systems on a 2.000 document full text medical database. The first system, SAPHIRE, features concept based automatic indexing and statistical retrieval techniques, while the second system, SWORD, features traditional word based Boolean techniques, 16 medical students at Oregon Health Sciences Univ. each performed 10 searches and their results, recorded in terms of recall and precision, showed nearly equal performance for both systems. SAPHIRE was also compared with a version of SWORD modified to use automatic indexing and ranked retrieval. Using batch input of queries, the latter method performed slightly better

Imprint

Medford, NJ : Learned Information Inc.

Source

Proceedings of the 55th Annual Meeting of the American Society for Information Science, Pittsburgh, 26.-29.10.92. Ed.: D. Shaw

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Footnote

Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.47-58.

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Source

Challenges to an information society : proceedings of the 47th ASIS annual Meeting, Philadelphia, Pennsylvania, October 21-25, 1984. Ed.: Barbara Flood

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Abstract

This article discusses indexing practices at the National Agriculture Library. Indexers at NAL scan over 2,200 incoming journals for input into its bibliographic database, AGRICOLA. The National Agriculture Library's coverage extends worldwide covering a broad range of agriculture subjects. Access to AGRICOLA occurs in several ways: onsite search, commercial vendors, Dialog Information Services, Inc. and BRS Information Technologies. The National Agricultural Library uses CAB THESAURUS to describe the subject content of articles in AGRICOLA.

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Abstract

This article revisits the debate concerning controlled and natural indexing languages, as used in searching the databases of the online hosts, in-house information retrieval systems, online public access catalogues and databases stored on CD-ROM. The debate was first formulated in the early days of information retrieval more than a century ago but, despite significant advance in technology, remains unresolved. The article divides the history of the debate into four eras. Era one was characterised by the introduction of controlled vocabulary. Era two focused on comparisons between different indexing languages in order to assess which was best. Era three saw a number of case studies of limited generalisability and a general recognition that the best search performance can be achieved by the parallel use of the two types of indexing languages. The emphasis in Era four has been on the development of end-user-based systems, including online public access catalogues and databases on CD-ROM. Recent developments in the use of expert systems techniques to support the representation of meaning may lead to systems which offer significant support to the user in end-user searching. In the meantime, however, information retrieval in practice involves a mixture of natural and controlled indexing languages used to search a wide variety of different kinds of databases

Source

Journal of information science. 20(1994) no.2, S.108-119

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Imprint

Alberta : Alberta University, School of Library and Information Studies

Source

Connectedness: information, systems, people, organizations. Proceedings of CAIS/ACSI 95, the proceedings of the 23rd Annual Conference of the Canadian Association for Information Science. Ed. by Hope A. Olson and Denis B. Ward

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Source

Knowledge organization. 45(2018) no.7, S.574-585

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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.

Source

Journal of the American Society for Information Science and Technology. 58(2007) no.8, S.1175-1187

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Abstract

Subject indexing plays an important role in supporting subject access to information resources. Current subject indexing systems do not make adequate distinctions on the importance of assigned subject descriptors. Assigning numeric weights to subject descriptors to distinguish their importance to the documents can strengthen the role of subject metadata. Automated methods are more cost-effective. This study compares different automated weighting methods in different environments. Two evaluation methods were used to assess the performance. Experiments on three datasets in the biomedical domain suggest the performance of different weighting methods depends on whether it is an abstract or full text environment. Mutual information with bag-of-words representation shows the best average performance in the full text environment, while cosine with bag-of-words representation is the best in an abstract environment. The cosine measure has relatively consistent and robust performance. A direct weighting method, IDF (Inverse Document Frequency), can produce quick and reasonable estimates of the weights. Bag-of-words representation generally outperforms the concept-based representation. Further improvement in performance can be obtained by using the learning-to-rank method to integrate different weighting methods. This study follows up Lu and Mao (Journal of the Association for Information Science and Technology, 66, 1776-1784, 2015), in which an automated weighted subject indexing method was proposed and validated. The findings from this study contribute to more effective weighted subject indexing.

Source

Journal of the Association for Information Science and Technology. 69(2018) no.1, S.121-133

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Date

10. 9.2000 17:38:22

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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

Automatic keyword extraction is an important and fundamental technology in an advanced information retrieval systems. Briefly compares several major keyword extraction methods, lists their advantages and disadvantages, and reports recent research progress in Taiwan. Also describes the application of a keyword extraction algorithm in an information retrieval system for relevance feedback. Preliminary analysis shows that the error rate of extracting relevant keywords is 18%, and that the precision rate is over 50%. The main disadvantage of this approach is that the extraction results depend on the retrieval results, which in turn depend on the data held by the database. Apart from collecting more data, this problem can be alleviated by the application of a thesaurus constructed by the same keyword extraction algorithm

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Abstract

Our purpose is to adapt a statistical method for the analysis of discrete numerical series to the keywords appearing in scientific articles of a given area. As an example, we apply our methodological approach to the study of the keywords in the Library and Information Sciences (LIS) area. Our objective is to detect the new author keywords that appear in a fixed knowledge area in the period of 1 year in order to quantify the probabilities of survival for 10 years as a function of the impact of the journals where they appeared. Many of the new keywords appearing in the LIS field are ephemeral. Actually, more than half are never used again. In general, the terms most commonly used in the LIS area come from other areas. The average survival time of these keywords is approximately 3 years, being slightly higher in the case of words that were published in journals classified in the second quartile of the area. We believe that measuring the appearance and disappearance of terms will allow understanding some relevant aspects of the evolution of a discipline, providing in this way a new bibliometric approach.

Source

Journal of the Association for Information Science and Technology. 71(2020) no.4, S.462-473

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Abstract

This article introduces a new concept and technique for information retrieval called 'colinked descriptors'. Borrowed from an analogous idea in bibliometrics - cocited references - colinked descriptors provide a theory and method for identifying search terms that, by hypothesis, will be superior to those entered initially by a searcher. The theory suggests a means of moving automatically from 2 or more initial search terms, to other terms that should be superior in retrieval performance to the 2 original terms. A research project designed to test this colinked descriptor hypothesis is reported. The results suggest that the approach is effective, although methodological problems in testing the idea are reported. Algorithms to generate colinked descriptors can be incorporated easily into system interfaces, front-end or pre-search systems, or help software, in any database that employs a thesaurus. The potential use of colinked descriptors is a strong argument for building richer and more complex thesauri that reflect as many legitimate links among descriptors as possible

Source

Journal of the American Society for Information Science. 47(1996) no.4, S.311-325

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Source

Journal of information science. 18(1992) no.5, S.399-408