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  1. Lercher, A.: Correlation over time for citations to mathematics articles (2013) 0.09
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    Abstract
    Explicit definition of the limits of citation analysis demands additional tests for the validity of citation analysis. The stability of citation rankings over time can be regarded as confirming the validity of evaluative citation analysis. This stability over time was investigated for two sets of citation records from the Web of Science (Thomson Reuters, Philadelphia, PA) for articles published in journals classified in Journal Citation Reports as Mathematics. These sets are of all such articles for the 1960s and for the 1970s. This study employs only descriptive statistics and draws no inferences to any larger population. The study found a high correlation from one decade to the next of rankings among sets of most highly cited articles. However, the study found a low correlation for rankings among articles whose ranks were the 500 directly below those of the 500 most cited. This perhaps expected result is discussed in terms of the Glänzel-Schubert-Schoepflin stochastic model for citation processes and also in connection with an account of the purposes of evaluative citation analysis. This interpretative context suggests why the limitations of citation analysis may be inherent to citation analysis even when it is done well.
    Date
    22. 3.2013 19:23:35
  2. Zeng, M.L.; Gracy, K.F.; Zumer, M.: Using a semantic analysis tool to generate subject access points : a study using Panofsky's theory and two research samples (2014) 0.08
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    Pages
    S.493-500
    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
  3. Soulier, L.; Jabeur, L.B.; Tamine, L.; Bahsoun, W.: On ranking relevant entities in heterogeneous networks using a language-based model (2013) 0.07
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    Date
    22. 3.2013 19:34:49
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.3, S.500-515
  4. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.07
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    Source
    http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
  5. Zornic, N.; Markovic, A.; Jeremic, V.: How the top 500 ARWU can provide a misleading rank (2014) 0.06
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  6. Moskovitch, R.; Wang, F.; Pei, J.; Friedman, C.: JASIST special issue on biomedical information retrieval : Editorial (2017) 0.05
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    Content
    Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23972/full. Vgl. das Erratum in JASIST 69(2018) no.3, S.500.
  7. Chang, H.-J.: Multinationals on the web : cultural similarities and differences in English-language and Chinese-language website designs (2011) 0.05
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    Abstract
    The goal of this article is to explore the manifestation of culture in the design of English-language and Chinese-language corporate websites, using Hofstede's dimensions of culture. Data were gathered from the 2010 Global 500 list published by Fortune magazine. Only multinational corporations that have both English-language and Chinese-language websites were analyzed (N=223). The results indicate that the Chinese-language and English-language websites differ significantly in 4 out of Hofstede's 5 cultural dimensions: power distance, uncertainty avoidance, individualism/collectivism, and long-term and short-term dimensions. Cultural differences are indeed reflected in the website designs of the Global 500 corporations, though not exactly in the direction predicted by Hofstede's model.
  8. Rafferty, P.: Tagging (2018) 0.05
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    Content
    DOI:10.5771/0943-7444-2018-6-500.
    Source
    Knowledge organization. 45(2018) no.6, S.500-516
  9. Egghe, L.: Informetric explanation of some Leiden Ranking graphs (2014) 0.04
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    Abstract
    The S-shaped functional relation between the mean citation score and the proportion of top 10% publications for the 500 Leiden Ranking universities is explained using results of the shifted Lotka function. Also the concave or convex relation between the proportion of top 100?% publications, for different fractions ?, is explained using the obtained new informetric model.
  10. Tramullas, J.; Sánchez-Casabón, A.I.; Garrido-Picazo, P.: Wikipedia categories in research : towards a qualitative review of uses and applications (2018) 0.04
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    Pages
    S.490-500
  11. 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) 0.04
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  12. Copeland, B.J.: Turing: pioneer of the information age (2012) 0.04
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    Classification
    SR 500
    RVK
    SR 500
  13. Perianes-Rodriguez, A.; Ruiz-Castillo, J.: University citation distributions (2016) 0.04
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    Abstract
    We investigate the citation distributions of the 500 universities in the 2013 edition of the Leiden Ranking produced by The Centre for Science and Technological Studies. We use a Web of Science data set consisting of 3.6 million articles published in 2003 to 2008 and classified into 5,119 clusters. The main findings are the following. First, the universality claim, according to which all university-citation distributions, appropriately normalized, follow a single functional form, is not supported by the data. Second, the 500 university citation distributions are all highly skewed and very similar. Broadly speaking, university citation distributions appear to behave as if they differ by a relatively constant scale factor over a large, intermediate part of their support. Third, citation-impact differences between universities account for 3.85% of overall citation inequality. This percentage is greatly reduced when university citation distributions are normalized using their mean normalized citation scores (MNCSs) as normalization factors. Finally, regarding practical consequences, we only need a single explanatory model for the type of high skewness characterizing all university citation distributions, and the similarity of university citation distributions goes a long way in explaining the similarity of the university rankings obtained with the MNCS and the Top 10% indicator.
  14. Doran, C.; Martin, C.: Measuring success in outsourced cataloging : a data-driven investigation (2017) 0.04
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    Abstract
    This article investigates the error rates in shelf-ready cataloged monographs from Ingram Coutts Information Services that were received at The University of Western Ontario. Using quality control reports from a period of two years, over 500 cataloging errors were entered into a database organized by frequency, severity, and other factors. With this information, we analyzed the frequency of errors and their root causes. We found that overall error rates are low, and the quality of shelf-ready cataloging has improved since first implementing the outsourcing program.
  15. Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010) 0.03
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    Content
    PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.
  16. Rushdi-Saleh, M.; Martín-Valdivia, M.T.; Ureña-López, L.A.; Perea-Ortega, J.M.: OCA: Opinion corpus for Arabic (2011) 0.03
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    Abstract
    Sentiment analysis is a challenging new task related to text mining and natural language processing. Although there are, at present, several studies related to this theme, most of these focus mainly on English texts. The resources available for opinion mining (OM) in other languages are still limited. In this article, we present a new Arabic corpus for the OM task that has been made available to the scientific community for research purposes. The corpus contains 500 movie reviews collected from different web pages and blogs in Arabic, 250 of them considered as positive reviews, and the other 250 as negative opinions. Furthermore, different experiments have been carried out on this corpus, using machine learning algorithms such as support vector machines and Nave Bayes. The results obtained are very promising and we are encouraged to continue this line of research.
  17. Hassanzadeh, O.; Kementsietsidis, A.; Lim, L.; Miller, R.J.; Wang, M.: Semantic link discovery over relational data (2012) 0.03
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    Abstract
    From small research groups to large organizations, there has been tremendous effort in the last few years in publishing data online so that it is widely accessible to a large community. These efforts have been successful across a number of domains and have resulted in a proliferation of online sources. In the field of biology, there were 1.330 major online molecular databases at the beginning of 2011, which is 96 more than a year earlier. In the Linking Open Data (LOD) community project at the W3C, the number of published RDF triples has grown from 500 million in May 2007 to over 28 billion triples in March 2011. Fueling this data publishing explosion are tools for translating relational and semistructured data into RDF. In this chapter, we present LinQuer, a generic and extensible framework for integrating link discovery methods over relational data.
  18. Budd, J.M.: ¬A reply to Lingard (2013) 0.03
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    Source
    Journal of documentation. 69(2013) no.4, S.500-506
  19. Gorichanaz, T.: Information and experience : a dialogue (2017) 0.03
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    Source
    Journal of documentation. 73(2017) no.3, S.500-508
  20. Gleick, J.: ¬Die Information : Geschichte, Theorie, Flut (2011) 0.03
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    Classification
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