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
  Lee, K. ; Kim, S.Y. ; Kim, E.H.-J. ; Song, M.: Comparative evaluation of bibliometric content networks by tomographic content analysis : an application to Parkinson's disease.
  In: Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1295-1307.
  
  Abstract: To understand the current state of a discipline and to discover new knowledge of a certain theme, one builds bibliometric content networks based on the present knowledge entities. However, such networks can vary according to the collection of data sets relevant to the theme by querying knowledge entities. In this study we classify three different bibliometric content networks. The primary bibliometric network is based on knowledge entities relevant to a keyword of the theme, the secondary network is based on entities associated with the lower concepts of the keyword, and the tertiary network is based on entities influenced by the theme. To explore the content and properties of these networks, we propose a tomographic content analysis that takes a slice-and-dice approach to analyzing the networks. Our findings indicate that the primary network is best suited to understanding the current knowledge on a certain topic, whereas the secondary network is good at discovering new knowledge across fields associated with the topic, and the tertiary network is appropriate for outlining the current knowledge of the topic and relevant studies.
  
  Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23752/full.
  
  Themenfeld: Informetrie
  Wissenschaftsfach: Medizin
  
  
• 2
  Song, M. ; Kim, S.Y. ; Lee, K.: Ensemble analysis of topical journal ranking in bioinformatics.
  In: Journal of the Association for Information Science and Technology. 68(2017) no.6, S.1564-1583.
  
  Abstract: Journal rankings, frequently determined by the journal impact factor or similar indices, are quantitative measures for evaluating a journal's performance in its discipline, which is presently a major research thrust in the bibliometrics field. Recently, text mining was adopted to augment journal ranking-based evaluation with the content analysis of a discipline taking a time-variant factor into consideration. However, previous studies focused mainly on a silo analysis of a discipline using either citation-or content-oriented approaches, and no attempt was made to analyze topical journal ranking and its change over time in a seamless and integrated manner. To address this issue, we propose a journal-time-topic model, an extension of Dirichlet multinomial regression, which we applied to the field of bioinformatics to understand journal contribution to topics in a field and the shift of topic trends. The journal-time-topic model allows us to identify which journals are the major leaders in what topics and the manner in which their topical focus. It also helps reveal an interesting distinct pattern in the journal impact factor of high- and low-ranked journals. The study results shed a new light for understanding topic specific journal rankings and shifts in journals' concentration on a subject.
  
  Inhalt: Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23840/full.
  
  Themenfeld: Informetrie
  
  
• 3
  Song, M. ; Kim, S.Y. ; Zhang, G. ; Ding, Y. ; Chambers, T.: Productivity and influence in bioinformatics : a bibliometric analysis using PubMed central.
  In: Journal of the Association for Information Science and Technology. 65(2014) no.2, S.352-371.
  
  Abstract: Bioinformatics is a fast-growing field based on the optimal use of "big data" gathered in genomic, proteomics, and functional genomics research. In this paper, we conduct a comprehensive and in-depth bibliometric analysis of the field of bioinformatics by extracting citation data from PubMed Central full-text. Citation data for the period 2000 to 2011, comprising 20,869 papers with 546,245 citations, was used to evaluate the productivity and influence of this emerging field. Four measures were used to identify productivity; most productive authors, most productive countries, most productive organizations, and most popular subject terms. Research impact was analyzed based on the measures of most cited papers, most cited authors, emerging stars, and leading organizations. Results show the overall trends between the periods 2000 to 2003 and 2004 to 2007 were dissimilar, while trends between the periods 2004 to 2007 and 2008 to 2011 were similar. In addition, the field of bioinformatics has undergone a significant shift, co-evolving with other biomedical disciplines.
  
  Themenfeld: Informetrie
  Wissenschaftsfach: Medizin
  Objekt: PubMed
  
  
• 4
  Kim, S.Y.: Search strategy, search tactics, moves.
  In: Library and information science. 1995, no.34, S.39-44.
  
  Abstract: The terms search strategy, search tactics, and moves are used to refer to interaction between an information retrieval system and the user. Examines papers using search strategy, search tactics, moves and analyzes the meaning of these terms. Suggests the need to use strategy and moves in information seeking studies
  
  Anmerkung: [Japanisch]
  
  Themenfeld: Suchtaktik