Search (162 results, page 1 of 9)

  • × language_ss:"e"
  • × year_i:[2020 TO 2030}
  1. Balakrishnan, U,; Soergel, D.; Helfer, O.: Representing concepts through description logic expressions for knowledge organization system (KOS) mapping (2020) 0.07 
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  2. Hoeber, O.: ¬A study of visually linked keywords to support exploratory browsing in academic search (2022) 0.04 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  3. Kulczycki, E.; Guns, R.; Pölönen, J.; Engels, T.C.E.; Rozkosz, E.A.; Zuccala, A.A.; Bruun, K.; Eskola, O.; Starcic, A.I.; Petr, M.; Sivertsen, G.: Multilingual publishing in the social sciences and humanities : a seven-country European study (2020) 0.03 
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  4. Fugmann, R.: What is information? : an information veteran looks back (2022) 0.03 
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    Date
    18. 8.2022 19:22:57
  5. Bergman, O.; Israeli, T.; Whittaker, S.: Factors hindering shared files retrieval (2020) 0.03 
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    Date
    20. 1.2015 18:30:22
  6. Hoeber, O.; Harvey, M.; Dewan Sagar, S.A.; Pointon, M.: ¬The effects of simulated interruptions on mobile search tasks (2022) 0.03 
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    Date
    3. 5.2022 13:22:33
  7. Safder, I.; Ali, M.; Aljohani, N.R.; Nawaz, R.; Hassan, S.-U.: Neural machine translation for in-text citation classification (2023) 0.02 
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  8. Sundin, O.; Lewandowski, D.; Haider, J.: Whose relevance? : Web search engines as multisided relevance machines (2022) 0.02 
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  9. Bianchini, C.; Bargioni, S.: Automated classification using linked open data : a case study on faceted classification and Wikidata (2021) 0.02 
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    Abstract
    The Wikidata gadget, CCLitBox, for the automated classification of literary authors and works by a faceted classification and using Linked Open Data (LOD) is presented. The tool reproduces the classification algorithm of class O Literature of the Colon Classification and uses data freely available in Wikidata to create Colon Classification class numbers. CCLitBox is totally free and enables any user to classify literary authors and their works; it is easily accessible to everybody; it uses LOD from Wikidata but missing data for classification can be freely added if necessary; it is readymade for any cooperative and networked project.
  10. Wu, Z.; Li, R.; Zhou, Z.; Guo, J.; Jiang, J.; Su, X.: ¬A user sensitive subject protection approach for book search service (2020) 0.02 
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    Date
    6. 1.2020 17:22:25
  11. Huang, T.; Nie, R.; Zhao, Y.: Archival knowledge in the field of personal archiving : an exploratory study based on grounded theory (2021) 0.02 
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    Date
    22. 1.2021 14:20:27
  12. Cerda-Cosme, R.; Méndez, E.: Analysis of shared research data in Spanish scientific papers about COVID-19 : a first approach (2023) 0.02 
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    Date
    21. 3.2023 19:22:02
  13. Jiang, Y.; Meng, R.; Huang, Y.; Lu, W.; Liu, J.: Generating keyphrases for readers : a controllable keyphrase generation framework (2023) 0.02 
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    Date
    22. 6.2023 14:55:20
  14. Ilhan, A.; Fietkiewicz, K.J.: Data privacy-related behavior and concerns of activity tracking technology users from Germany and the USA (2021) 0.02 
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    Abstract
    Purpose This investigation aims to examine the differences and similarities between activity tracking technology users from two regions (the USA and Germany) in their intended privacy-related behavior. The focus lies on data handling after hypothetical discontinuance of use, data protection and privacy policy seeking, and privacy concerns. Design/methodology/approach The data was collected through an online survey in 2019. In order to identify significant differences between participants from Germany and the USA, the chi-squared test and the Mann-Whitney U test were applied. Findings The intensity of several privacy-related concerns was significantly different between the two groups. The majority of the participants did not inform themselves about the respective data privacy policies or terms and conditions before installing an activity tracking application. The majority of the German participants knew that they could request the deletion of all their collected data. In contrast, only 35% out of 68 participants from the US knew about this option. Research limitations/implications This study intends to raise awareness about managing the collected health and fitness data after stopping to use activity tracking technologies. Furthermore, to reduce privacy and security concerns, the involvement of the government, companies and users is necessary to handle and share data more considerably and in a sustainable way. Originality/value This study sheds light on users of activity tracking technologies from a broad perspective (here, participants from the USA and Germany). It incorporates not only concerns and the privacy paradox but (intended) user behavior, including seeking information on data protection and privacy policy and handling data after hypothetical discontinuance of use of the technology.
    Date
    20. 1.2015 18:30:22
  15. Diedrichs, R.; Goebel, R.: K10plus - Technik und Entwicklung (2020) 0.01 
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  16. Oduntan, O.; Ruthven, I.: People and places : bridging the information gaps in refugee integration (2021) 0.01 
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  17. Bergman, O.; Israeli, T.; Whittaker, S.: ¬The scalability of different file-sharing methods (2020) 0.01 
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