Search (14 results, page 1 of 1)

  • × theme_ss:"Retrievalstudien"
  • × year_i:[2010 TO 2020}
  1. Schultz Jr., W.N.; Braddy, L.: ¬A librarian-centered study of perceptions of subject terms and controlled vocabulary (2017) 0.02
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    Abstract
    Controlled vocabulary and subject headings in OPAC records have proven to be useful in improving search results. The authors used a survey to gather information about librarian opinions and professional use of controlled vocabulary. Data from a range of backgrounds and expertise were examined, including academic and public libraries, and technical services as well as public services professionals. Responses overall demonstrated positive opinions of the value of controlled vocabulary, including in reference interactions as well as during bibliographic instruction sessions. Results are also examined based upon factors such as age and type of librarian.
  2. Ravana, S.D.; Taheri, M.S.; Rajagopal, P.: Document-based approach to improve the accuracy of pairwise comparison in evaluating information retrieval systems (2015) 0.02
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    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 67(2015) no.4, S.408-421
  3. Rajagopal, P.; Ravana, S.D.; Koh, Y.S.; Balakrishnan, V.: Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment (2019) 0.02
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    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 71(2019) no.1, S.2-17
  4. Vechtomova, O.: Facet-based opinion retrieval from blogs (2010) 0.01
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    Source
    Information processing and management. 46(2010) no.1, S.71-88
  5. Reichert, S.; Mayr, P.: Untersuchung von Relevanzeigenschaften in einem kontrollierten Eyetracking-Experiment (2012) 0.00
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    Date
    22. 7.2012 19:25:54
  6. Leiva-Mederos, A.; Senso, J.A.; Hidalgo-Delgado, Y.; Hipola, P.: Working framework of semantic interoperability for CRIS with heterogeneous data sources (2017) 0.00
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    Abstract
    Purpose Information from Current Research Information Systems (CRIS) is stored in different formats, in platforms that are not compatible, or even in independent networks. It would be helpful to have a well-defined methodology to allow for management data processing from a single site, so as to take advantage of the capacity to link disperse data found in different systems, platforms, sources and/or formats. Based on functionalities and materials of the VLIR project, the purpose of this paper is to present a model that provides for interoperability by means of semantic alignment techniques and metadata crosswalks, and facilitates the fusion of information stored in diverse sources. Design/methodology/approach After reviewing the state of the art regarding the diverse mechanisms for achieving semantic interoperability, the paper analyzes the following: the specific coverage of the data sets (type of data, thematic coverage and geographic coverage); the technical specifications needed to retrieve and analyze a distribution of the data set (format, protocol, etc.); the conditions of re-utilization (copyright and licenses); and the "dimensions" included in the data set as well as the semantics of these dimensions (the syntax and the taxonomies of reference). The semantic interoperability framework here presented implements semantic alignment and metadata crosswalk to convert information from three different systems (ABCD, Moodle and DSpace) to integrate all the databases in a single RDF file. Findings The paper also includes an evaluation based on the comparison - by means of calculations of recall and precision - of the proposed model and identical consultations made on Open Archives Initiative and SQL, in order to estimate its efficiency. The results have been satisfactory enough, due to the fact that the semantic interoperability facilitates the exact retrieval of information. Originality/value The proposed model enhances management of the syntactic and semantic interoperability of the CRIS system designed. In a real setting of use it achieves very positive results.
  7. Pal, S.; Mitra, M.; Kamps, J.: Evaluation effort, reliability and reusability in XML retrieval (2011) 0.00
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    Date
    22. 1.2011 14:20:56
  8. Chu, H.: Factors affecting relevance judgment : a report from TREC Legal track (2011) 0.00
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    Date
    12. 7.2011 18:29:22
  9. Wildemuth, B.; Freund, L.; Toms, E.G.: Untangling search task complexity and difficulty in the context of interactive information retrieval studies (2014) 0.00
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    Date
    6. 4.2015 19:31:22
  10. Sünkler, S.: Prototypische Entwicklung einer Software für die Erfassung und Analyse explorativer Suchen in Verbindung mit Tests zur Retrievaleffektivität (2012) 0.00
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    Content
    Masterarbeit im Studiengang Informationswissenschaft und -management.
  11. Angelini, M.; Fazzini, V.; Ferro, N.; Santucci, G.; Silvello, G.: CLAIRE: A combinatorial visual analytics system for information retrieval evaluation (2018) 0.00
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    Source
    Information processing and management. 54(2018) no.6, S.1077-1100
  12. Losada, D.E.; Parapar, J.; Barreiro, A.: Multi-armed bandits for adjudicating documents in pooling-based evaluation of information retrieval systems (2017) 0.00
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    Source
    Information processing and management. 53(2017) no.5, S.1005-1025
  13. White, H.D.: Relevance theory and distributions of judgments in document retrieval (2017) 0.00
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    Source
    Information processing and management. 53(2017) no.5, S.1080-1102
  14. Kutlu, M.; Elsayed, T.; Lease, M.: Intelligent topic selection for low-cost information retrieval evaluation : a new perspective on deep vs. shallow judging (2018) 0.00
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    Source
    Information processing and management. 54(2018) no.1, S.37-59