Search (175 results, page 9 of 9)

  • × language_ss:"e"
  • × year_i:[2020 TO 2030}
  1. Nakash, M.; Bouhnik, D.: ¬The effects of COVID-19 on information management in remote and hybrid work environments (2023) 0.00 
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  2. Zhang, D.; Wu, C.: What online review features really matter? : an explainable deep learning approach for hotel demand forecasting (2023) 0.00 
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  3. Thomas, M.A.; Li, Y.; Sistenich, V.; Diango, K.N.; Kabongo, D.: ¬A multi-stakeholder engagement framework for knowledge management in ICT4D (2023) 0.00 
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  4. Oh, D.-G.: Comparative analysis of national classification systems : cases of Korean Decimal Classification (KDC) and Nippon Decimal Classification (NDC) (2023) 0.00 
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  5. Zaitseva, E.M.: Developing linguistic tools of thematic search in library information systems (2023) 0.00 
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    Abstract
    Within the R&D program "Information support of research by scientists and specialists on the basis of RNPLS&T Open Archive - the system of scientific knowledge aggregation", the RNPLS&T analyzes the use of linguistic tools of thematic search in the modern library information systems and the prospects for their development. The author defines the key common characteristics of e-catalogs of the largest Russian libraries revealed at the first stage of the analysis. Based on the specified common characteristics and detailed comparison analysis, the author outlines and substantiates the vectors for enhancing search inter faces of e-catalogs. The focus is made on linguistic tools of thematic search in library information systems; the key vectors are suggested: use of thematic search at different search levels with the clear-cut level differentiation; use of combined functionality within thematic search system; implementation of classification search in all e-catalogs; hierarchical representation of classifications; use of the matching systems for classification information retrieval languages, and in the long term classification and verbal information retrieval languages, and various verbal information retrieval languages. The author formulates practical recommendations to improve thematic search in library information systems.
  6. Xiao, F.; Chi, Y.; He, D.: Promoting data use through understanding user behaviors : a model for human open government data interaction (2023) 0.00 
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  7. Kozlowski, D.; Andersen, J.P.; Larivière, V.: ¬The decrease in uncited articles and its effect on the concentration of citations (2024) 0.00 
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  8. Gu, D.; Liu, H.; Zhao, H.; Yang, X.; Li, M.; Lian, C.: ¬A deep learning and clustering-based topic consistency modeling framework for matching health information supply and demand (2024) 0.00 
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  9. Frey, J.; Streitmatter, D.; Götz, F.; Hellmann, S.; Arndt, N.: DBpedia Archivo (2020) 0.00 
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    Content
    # Community action on all ontologies (quality, FAIRness, conformity) Archivo is extensible and allows contributions to give consumers a central place to encode their requirements. We envision fostering adherence to standards and strengthening incentives for publishers to build a better (FAIRer) web of ontologies. 1. SHACL (https://www.w3.org/TR/shacl/, co-edited by DBpedia's CTO D. Kontokostas) enables easy testing of ontologies. Archivo offers free SHACL continuous integration testing for ontologies. Anyone can implement their SHACL tests and add them to the SHACL library on Github. We believe that there are many synergies, i.e. SHACL tests for your ontology are helpful for others as well. 2. We are looking for ontology experts to join DBpedia and discuss further validation (e.g. stars) to increase FAIRness and quality of ontologies. We are forming a steering committee and also a PC for the upcoming Vocarnival at SEMANTiCS 2021. Please message hellmann@informatik.uni-leipzig.de <mailto:hellmann@informatik.uni-leipzig.de>if you would like to join. We would like to extend the Archivo platform with relevant visualisations, tests, editing aides, mapping management tools and quality checks.
  10. Hobert, A.; Jahn, N.; Mayr, P.; Schmidt, B.; Taubert, N.: Open access uptake in Germany 2010-2018 : adoption in a diverse research landscape (2021) 0.00 
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    Location
    D
  11. Kissinger, H.A.; Schmidt, E.; Huttenlocher, D.: ¬The age of AI : and our human future (2021) 0.00 
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  12. Zhao, D.; Strotmann, A.: Mapping knowledge domains on Wikipedia : an author bibliographic coupling analysis of traditional Chinese medicine (2022) 0.00 
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  13. Zhao, D.; Strotmann, A.: Intellectual structure of information science 2011-2020 : an author co-citation analysis (2022) 0.00 
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  14. Brown, T.B.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; Agarwal, S.; Herbert-Voss, A.; Krueger, G.; Henighan, T.; Child, R.; Ramesh, A.; Ziegler, D.M.; Wu, J.; Winter, C.; Hesse, C.; Chen, M.; Sigler, E.; Litwin, M.; Gray, S.; Chess, B.; Clark, J.; Berner, C.; McCandlish, S.; Radford, A.; Sutskever, I.; Amodei, D.: Language models are few-shot learners (2020) 0.00 
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  15. Das, S.; Naskar, D.; Roy, S.: Reorganizing educational institutional domain using faceted ontological principles (2022) 0.00 
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