Literatur zur Informationserschließung

Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.

© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 28. April 2022)

Suchergebnisse

• 1
  Lu, K. ; Cai, X. ; Ajiferuke, I. ; Wolfram, D.: Vocabulary size and its effect on topic representation.
  In: Information processing and management. 53(2017) no.3, S.653-665.
  
  Abstract: This study investigates how computational overhead for topic model training may be reduced by selectively removing terms from the vocabulary of text corpora being modeled. We compare the impact of removing singly occurring terms, the top 0.5%, 1% and 5% most frequently occurring terms and both top 0.5% most frequent and singly occurring terms, along with changes in the number of topics modeled (10, 20, 30, 40, 50, 100) using three datasets. Four outcome measures are compared. The removal of singly occurring terms has little impact on outcomes for all of the measures tested. Document discriminative capacity, as measured by the document space density, is reduced by the removal of frequently occurring terms, but increases with higher numbers of topics. Vocabulary size does not greatly influence entropy, but entropy is affected by the number of topics. Finally, topic similarity, as measured by pairwise topic similarity and Jensen-Shannon divergence, decreases with the removal of frequent terms. The findings have implications for information science research in information retrieval and informetrics that makes use of topic modeling.
  
  Inhalt: Vgl.: http://www.sciencedirect.com/science/article/pii/S0306457317300298.
  
  Themenfeld: Computerlinguistik
  
  
• 2
  Ajiferuke, I. ; Lu, K. ; Wolfram, D.: ¬A comparison of citer and citation-based measure outcomes for multiple disciplines.
  In: Journal of the American Society for Information Science and Technology. 61(2010) no.10, S.2086-2096.
  
  Abstract: Author research impact was examined based on citer analysis (the number of citers as opposed to the number of citations) for 90 highly cited authors grouped into three broad subject areas. Citer-based outcome measures were also compared with more traditional citation-based measures for levels of association. The authors found that there are significant differences in citer-based outcomes among the three broad subject areas examined and that there is a high degree of correlation between citer and citation-based measures for all measures compared, except for two outcomes calculated for the social sciences. Citer-based measures do produce slightly different rankings of authors based on citer counts when compared to more traditional citation counts. Examples are provided. Citation measures may not adequately address the influence, or reach, of an author because citations usually do not address the origin of the citation beyond self-citations.
  
  Themenfeld: Informetrie
  
  
• 3
  Ajiferuke, I. ; Wolfram, D.: Analysis of Web page image tag distribution characteristics.
  In: Information processing and management. 41(2005) no.4, S.987-1002.
  
  Abstract: The authors investigate the frequency distribution of the use of image tags in Web pages. Using data sampled from top level Web pages across five top level domains and from sample pages within individual websites, the authors model observed patterns in the frequency of image tag usage by fitting collected data distributions to different theoretical models used in informetrics. Models tested include the modified power law (MPL), Mandelbrot (MDB), generalized waring (GW), generalized inverse Gaussian-Poisson (GIGP), and generalized negative binomial (GNB) distributions. The GIGP provided the best fit for data sets for top level pages across the top level domains tested. The poor fits of the models to the observed data distributions from specific websites were due to the multimodal nature of the observed data sets. Mixtures of the tested models for the data sets provided better fits. The ability to effectively model Web page attributes, such as the distribution of the number of image tags used per page, is needed for accurate simulation models of Web page content, and makes it possible to estimate the number of requests needed to display the complete content of Web pages.
  
  
  
• 4
  Chu, C.M. ; Ajiferuke, I.: Quality of indexing in library and information science databases.
  In: Online review. 13(1989), S.11-35.
  
  Abstract: This study compares the quality of indexing in library and information science databases (Library Literature (LL), Library and Information Science Abstracts (LISA), and Information Science Abstracts (ISA)). An alternative method to traditional retrieval effectiveness tests, suggested by White and Griffith in their paper 'Quality of indexing in online databases' is adopted to measure the quality of the controlled vocabulary of each database ... Our analysis shows that LISA has the best quality of indexing out of the three databases
  
  Objekt: LISA ; LiLi ; ISA