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  1. Pontis, S.; Blandford, A.; Greifeneder, E.; Attalla, H.; Neal, D.: Keeping up to date : an academic researcher's information journey (2017) 0.02
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.1, S.22-35
  2. Cho, H.; Donovan, A.; Lee, J.H.: Art in an algorithm : a taxonomy for describing video game visual styles (2018) 0.02
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    Abstract
    The discovery and retrieval of video games in library and information systems is, by and large, dependent on a limited set of descriptive metadata. Noticeably missing from this metadata are classifications of visual style-despite the overwhelmingly visual nature of most video games and the interest in visual style among video game users. One explanation for this paucity is the difficulty in eliciting consistent judgements about visual style, likely due to subjective interpretations of terminology and a lack of demonstrable testing for coinciding judgements. This study presents a taxonomy of video game visual styles constructed from the findings of a 22-participant cataloging user study of visual styles. A detailed description of the study, and its value and shortcomings, are presented along with reflections about the challenges of cultivating consensus about visual style in video games. The high degree of overall agreement in the user study demonstrates the potential value of a descriptor like visual style and the use of a cataloging study in developing visual style taxonomies. The resulting visual style taxonomy, the methods and analysis described herein may help improve the organization and retrieval of video games and possibly other visual materials like graphic designs, illustrations, and animations.
  3. Lu, W.; Ding, H.; Jiang, J.: ¬A document expansion framework for tag-based image retrieval (2018) 0.02
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    Date
    20. 1.2015 18:30:22
  4. Rahmi, R.; Joho, H.; Shirai, T.: ¬An analysis of natural disaster-related information-seeking behavior using temporal stages (2019) 0.02
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    Date
    12. 6.2019 13:22:15
  5. Cronin, B.: Thinking about data (2013) 0.02
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    Date
    22. 3.2013 16:18:36
  6. Grudin, J.: Human-computer interaction (2011) 0.02
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    Date
    27.12.2014 18:54:22
  7. Willis, C.; Greenberg, J.; White, H.: Analysis and synthesis of metadata goals for scientific data (2012) 0.02
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    Abstract
    The proliferation of discipline-specific metadata schemes contributes to artificial barriers that can impede interdisciplinary and transdisciplinary research. The authors considered this problem by examining the domains, objectives, and architectures of nine metadata schemes used to document scientific data in the physical, life, and social sciences. They used a mixed-methods content analysis and Greenberg's () metadata objectives, principles, domains, and architectural layout (MODAL) framework, and derived 22 metadata-related goals from textual content describing each metadata scheme. Relationships are identified between the domains (e.g., scientific discipline and type of data) and the categories of scheme objectives. For each strong correlation (>0.6), a Fisher's exact test for nonparametric data was used to determine significance (p < .05). Significant relationships were found between the domains and objectives of the schemes. Schemes describing observational data are more likely to have "scheme harmonization" (compatibility and interoperability with related schemes) as an objective; schemes with the objective "abstraction" (a conceptual model exists separate from the technical implementation) also have the objective "sufficiency" (the scheme defines a minimal amount of information to meet the needs of the community); and schemes with the objective "data publication" do not have the objective "element refinement." The analysis indicates that many metadata-driven goals expressed by communities are independent of scientific discipline or the type of data, although they are constrained by historical community practices and workflows as well as the technological environment at the time of scheme creation. The analysis reveals 11 fundamental metadata goals for metadata documenting scientific data in support of sharing research data across disciplines and domains. The authors report these results and highlight the need for more metadata-related research, particularly in the context of recent funding agency policy changes.
  8. Martins, A.L.; Souza, R.R.; Ribeiro de Mello, H.: ¬The use of noun phrases in information retrieval : proposing a mechanism for automatic classification (2014) 0.02
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    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  9. Batorowska, H.; Kaminska-Czubala, B.: Information retrieval support : visualisation of the information space of a document (2014) 0.02
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    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  10. Williamson, N.J.: Classification issues in 2011 : report (2012) 0.02
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    Date
    22. 1.2012 13:17:00
  11. Cronin, B.: ¬The writing on the wall (2015) 0.02
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    Date
    26. 4.2015 19:27:22
  12. Xiao, G.: ¬A knowledge classification model based on the relationship between science and human needs (2013) 0.02
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    Date
    22. 2.2013 12:36:34
  13. Szostak, R.: Speaking truth to power in classification : response to Fox's review of my work; KO 39:4, 300 (2013) 0.02
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    Date
    22. 2.2013 12:35:05
  14. Marx, W.; Bornmann, L.: On the problems of dealing with bibliometric data (2014) 0.02
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    Date
    18. 3.2014 19:13:22
  15. Sauperl, S.A.: UDC as a standardisation method for providing titles of documents (2015) 0.02
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    Date
    10.11.2015 10:22:31
  16. Castro, A. de: Mental models may fail when faced with self-referential descriptors (2016) 0.02
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    Date
    22. 1.2016 14:45:01
  17. Shaw, R.; Golden, P.; Buckland, M.: Using linked library data in working research notes (2015) 0.02
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    Date
    15. 1.2016 19:22:28
  18. Foskett, D.J.: Systems theory and its relevance to documentary classification (2017) 0.02
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    Date
    6. 5.2017 18:46:22
  19. Bursa, O. et al.: Enriching preferences using DBpedia and Wordnet (2016) 0.02
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    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  20. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.01
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