Search (52 results, page 1 of 3)

  • × theme_ss:"Indexierungsstudien"
  1. Cleverdon, C.W.: ASLIB Cranfield Research Project : Report on the first stage of an investigation into the comparative efficiency of indexing systems (1960) 0.06
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    Footnote
    Rez. in: College and research libraries 22(1961) no.3, S.228 (G. Jahoda)
  2. Broxis, P.F.: ASSIA social science information service (1989) 0.05
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    Abstract
    ASSIA (Applied Social Science Index and Abtracts) started in 1987 as a bimonthly indexing and abstracting service in the society field, aimed at practitioners as well as sociologists. Considers the following aspects of the service: arrangement of ASSIA; journal coverage; indexing approach; services for subscribers; and who are the users?
    Source
    Outlook on research libraries. 11(1989) no.2, S.3-8
  3. Evedove, P.R. Dal; Evedove Tartarotti, R.C. Dal; Lopes Fujita, M.S.: Verbal protocols in Brazilian information science : a perspective from indexing studies (2018) 0.03
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    Source
    Challenges and opportunities for knowledge organization in the digital age: proceedings of the Fifteenth International ISKO Conference, 9-11 July 2018, Porto, Portugal / organized by: International Society for Knowledge Organization (ISKO), ISKO Spain and Portugal Chapter, University of Porto - Faculty of Arts and Humanities, Research Centre in Communication, Information and Digital Culture (CIC.digital) - Porto. Eds.: F. Ribeiro u. M.E. Cerveira
  4. White, H.; Willis, C.; Greenberg, J.: HIVEing : the effect of a semantic web technology on inter-indexer consistency (2014) 0.03
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    Abstract
    Purpose - The purpose of this paper is to examine the effect of the Helping Interdisciplinary Vocabulary Engineering (HIVE) system on the inter-indexer consistency of information professionals when assigning keywords to a scientific abstract. This study examined first, the inter-indexer consistency of potential HIVE users; second, the impact HIVE had on consistency; and third, challenges associated with using HIVE. Design/methodology/approach - A within-subjects quasi-experimental research design was used for this study. Data were collected using a task-scenario based questionnaire. Analysis was performed on consistency results using Hooper's and Rolling's inter-indexer consistency measures. A series of t-tests was used to judge the significance between consistency measure results. Findings - Results suggest that HIVE improves inter-indexing consistency. Working with HIVE increased consistency rates by 22 percent (Rolling's) and 25 percent (Hooper's) when selecting relevant terms from all vocabularies. A statistically significant difference exists between the assignment of free-text keywords and machine-aided keywords. Issues with homographs, disambiguation, vocabulary choice, and document structure were all identified as potential challenges. Research limitations/implications - Research limitations for this study can be found in the small number of vocabularies used for the study. Future research will include implementing HIVE into the Dryad Repository and studying its application in a repository system. Originality/value - This paper showcases several features used in HIVE system. By using traditional consistency measures to evaluate a semantic web technology, this paper emphasizes the link between traditional indexing and next generation machine-aided indexing (MAI) tools.
  5. Veenema, F.: To index or not to index (1996) 0.03
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    Source
    Canadian journal of information and library science. 21(1996) no.2, S.1-22
  6. Qin, J.: Semantic similarities between a keyword database and a controlled vocabulary database : an investigation in the antibiotic resistance literature (2000) 0.03
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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
    Object
    Science Citation Index
    Source
    Journal of the American Society for Information Science. 51(2000) no.2, S.166-180
  7. Neshat, N.; Horri, A.: ¬A study of subject indexing consistency between the National Library of Iran and Humanities Libraries in the area of Iranian studies (2006) 0.03
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    Abstract
    This study represents an attempt to compare indexing consistency between the catalogers of the National Library of Iran (NLI) on one side and 12 major academic and special libraries located in Tehran on the other. The research findings indicate that in 75% of the libraries the subject inconsistency values are 60% to 85%. In terms of subject classes, the consistency values are 10% to 35.2%, the mean of which is 22.5%. Moreover, the findings show that whenever the number of assigned terms increases, the probability of consistency decreases. This confirms Markey's findings in 1984.
    Date
    4. 1.2007 10:22:26
  8. Larson, R.R.: Experiments in automatic Library of Congress Classification (1992) 0.03
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    Abstract
    This article presents the results of research into the automatic selection of Library of Congress Classification numbers based on the titles and subject headings in MARC records. The method used in this study was based on partial match retrieval techniques using various elements of new recors (i.e., those to be classified) as "queries", and a test database of classification clusters generated from previously classified MARC records. Sixty individual methods for automatic classification were tested on a set of 283 new records, using all combinations of four different partial match methods, five query types, and three representations of search terms. The results indicate that if the best method for a particular case can be determined, then up to 86% of the new records may be correctly classified. The single method with the best accuracy was able to select the correct classification for about 46% of the new records.
    Source
    Journal of the American Society for Information Science. 43(1992), S.130-148
  9. David, C.; Giroux, L.; Bertrand-Gastaldy, S.; Lanteigne, D.: Indexing as problem solving : a cognitive approach to consistency (1995) 0.03
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    Abstract
    Indexers differ in their judgement as to which terms reflect adequately the content of a document. Studies of interindexers' consistency identified several factors associated with low consistency, but failed to provide a comprehensive model of this phenomenon. Our research applies theories and methods from cognitive psychology to the study of indexing behavior. From a theoretical standpoint, indexing is considered as a problem solving situation. To access to the cognitive processes of indexers, 3 kinds of verbal reports are used. We will present results of an experiment in which 4 experienced indexers indexed the same documents. It will be shown that the 3 kinds of verbal reports provide complementary data on strategic behavior, and that it is of prime importance to consider the indexing task as an ill-defined problem, where the solution is partly defined by the indexer him(her)self
    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
  10. Harter, S.P.; Cheng, Y.-R.: Colinked descriptors : improving vocabulary selection for end-user searching (1996) 0.03
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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
  11. Bodoff, D.; Richter-Levin, Y.: Viewpoints in indexing term assignment (2020) 0.03
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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.
    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.4, S.450-461
  12. Taniguchi, S.: Recording evidence in bibliographic records and descriptive metadata (2005) 0.02
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    Date
    18. 6.2005 13:16:22
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.8, S.872-882
  13. Leininger, K.: Interindexer consistency in PsychINFO (2000) 0.02
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    Date
    9. 2.1997 18:44:22
    Source
    Journal of librarianship and information science. 32(2000) no.1, S.4-8
  14. Rowley, J.: ¬The controlled versus natural indexing languages debate revisited : a perspective on information retrieval practice and research (1994) 0.02
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    Source
    Journal of information science. 20(1994) no.2, S.108-119
  15. Cleverdon, C.W.: Aslib Cranfield research project : report on the testing and analysis of an investigation into the comparative efficiency of indexing systems (1962) 0.02
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  16. Bonn, G.S.: Relative usefulness of indexing and abstracting services (1950) 0.02
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    Source
    College and research libraries. 11(1950) no.3, S.207-210
  17. Warheit, I.A.: ¬A study of coordinate indexing as applied to U.S. Atomic Energy Commission Reports (1955) 0.02
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    Source
    College and research libraries. 16(1955) no.3, S.278-285
  18. Lin, Y,-l.; Trattner, C.; Brusilovsky, P.; He, D.: ¬The impact of image descriptions on user tagging behavior : a study of the nature and functionality of crowdsourced tags (2015) 0.02
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    Abstract
    Crowdsourcing has emerged as a way to harvest social wisdom from thousands of volunteers to perform a series of tasks online. However, little research has been devoted to exploring the impact of various factors such as the content of a resource or crowdsourcing interface design on user tagging behavior. Although images' titles and descriptions are frequently available in image digital libraries, it is not clear whether they should be displayed to crowdworkers engaged in tagging. This paper focuses on offering insight to the curators of digital image libraries who face this dilemma by examining (i) how descriptions influence the user in his/her tagging behavior and (ii) how this relates to the (a) nature of the tags, (b) the emergent folksonomy, and (c) the findability of the images in the tagging system. We compared two different methods for collecting image tags from Amazon's Mechanical Turk's crowdworkers-with and without image descriptions. Several properties of generated tags were examined from different perspectives: diversity, specificity, reusability, quality, similarity, descriptiveness, and so on. In addition, the study was carried out to examine the impact of image description on supporting users' information seeking with a tag cloud interface. The results showed that the properties of tags are affected by the crowdsourcing approach. Tags from the "with description" condition are more diverse and more specific than tags from the "without description" condition, while the latter has a higher tag reuse rate. A user study also revealed that different tag sets provided different support for search. Tags produced "with description" shortened the path to the target results, whereas tags produced without description increased user success in the search task.
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.9, S.1785-1798
  19. Cleverdon, C.W.; Mills, J.; Keen, M.: Factors determining the performance of indexing systems : ASLIB Cranfield research project (1966) 0.02
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  20. Biagetti, M.T.: Indexing and scientific research needs (2006) 0.01
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    Abstract
    The paper examines main problems of semantic indexing taking into consideration the connection with the needs of scientific research, in particular in the field of Social Sciences. Multi-modal indexing approach, which allows researchers to find documents according to different dimensions of research, is described. Request-oriented indexing and Pragmatic approach are also discussed and, finally, the possibility of assuming as fundamental principle, in indexing, C. S. Peirce theory of Abduction, is outlined.

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