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
  Bilal, D.: Ranking, relevance judgment, and precision of information retrieval on children's queries : evaluation of Google, Yahoo!, Bing, Yahoo! Kids, and ask Kids.
  In: Journal of the American Society for Information Science and Technology. 63(2012) no.9, S.1879-1896.
  
  Abstract: This study employed benchmarking and intellectual relevance judgment in evaluating Google, Yahoo!, Bing, Yahoo! Kids, and Ask Kids on 30 queries that children formulated to find information for specific tasks. Retrieved hits on given queries were benchmarked to Google's and Yahoo! Kids' top-five ranked hits retrieved. Relevancy of hits was judged on a graded scale; precision was calculated using the precision-at-ten metric (P@10). Yahoo! and Bing produced a similar percentage in hit overlap with Google (nearly 30%), but differed in the ranking of hits. Ask Kids retrieved 11% in hit overlap with Google versus 3% by Yahoo! Kids. The engines retrieved 26 hits across query clusters that overlapped with Yahoo! Kids' top-five ranked hits. Precision (P) that the engines produced across the queries was P = 0.48 for relevant hits, and P = 0.28 for partially relevant hits. Precision by Ask Kids was P = 0.44 for relevant hits versus P = 0.21 by Yahoo! Kids. Bing produced the highest total precision (TP) of relevant hits (TP = 0.86) across the queries, and Yahoo! Kids yielded the lowest (TP = 0.47). Average precision (AP) of relevant hits was AP = 0.56 by leading engines versus AP = 0.29 by small engines. In contrast, average precision of partially relevant hits was AP = 0.83 by small engines versus AP = 0.33 by leading engines. Average precision of relevant hits across the engines was highest on two-word queries and lowest on one-word queries. Google performed best on natural language queries; Bing did the same (P = 0.69) on two-word queries. The findings have implications for search engine ranking algorithms, relevance theory, search engine design, research design, and information literacy.
  
  Themenfeld: Retrievalalgorithmen ; Suchmaschinen
  Objekt: Google ; Yahoo! ; Bing ; Yahoo! Kids ; ask Kids
  
  
• 2
  Savolainen, R.: ¬The structure of argument patterns on a social Q&A site.
  In: Journal of the American Society for Information Science and Technology. 63(2012) no.12, S.2536-2548.
  
  Abstract: This study investigates the argument patterns in Yahoo! Answers, a major question and answer (Q&A) site. Mainly drawing on the ideas of Toulmin (), argument pattern is conceptualized as a set of 5 major elements: claim, counterclaim, rebuttal, support, and grounds. The combinations of these elements result in diverse argument patterns. Failed opening consists of an initial claim only, whereas nonoppositional argument pattern also includes indications of support. Oppositional argument pattern contains the elements of counterclaim and rebuttal. Mixed argument pattern entails all 5 elements. The empirical data were gathered by downloading from Yahoo! Answers 100 discussion threads discussing global warming-a controversial topic providing a fertile ground for arguments for and against. Of the argument patterns, failed openings were most frequent, followed by oppositional, nonoppositional, and mixed patterns. In most cases, the participants grounded their arguments by drawing on personal beliefs and facts. The findings suggest that oppositional and mixed argument patterns provide more opportunities for the assessment of the quality and credibility of answers, as compared to failed openings and nonoppositional argument patterns.
  
  Themenfeld: Internet
  Objekt: Yahoo! Answers
  
  
• 3
  Kim, S. ; Oh, S.: Users' relevance criteria for evaluating answers in a social Q&A site.
  In: Journal of the American Society for Information Science and Technology. 60(2009) no.4, S.716-727.
  
  Abstract: This study examines the criteria questioners use to select the best answers in a social Q&A site (Yahoo! Answers) within the theoretical framework of relevance research. A social Q&A site is a novel environment where people voluntarily ask and answer questions. In Yahoo! Answers, the questioner selects the answer that best satisfies his or her question and leaves comments on it. Under the assumption that the comments reflect the reasons why questioners select particular answers as the best, this study analyzed 2,140 comments collected from Yahoo! Answers during December 2007. The content analysis identified 23 individual relevance criteria in six classes: Content, Cognitive, Utility, Information Sources, Extrinsic, and Socioemotional. A major finding is that the selection criteria used in a social Q&A site have considerable overlap with many relevance criteria uncovered in previous relevance studies, but that the scope of socio-emotional criteria has been expanded to include the social aspect of this environment. Another significant finding is that the relative importance of individual criteria varies according to topic categories. Socioemotional criteria are popular in discussion-oriented categories, content-oriented criteria in topic-oriented categories, and utility criteria in self-help categories. This study generalizes previous relevance studies to a new environment by going beyond an academic setting.
  
  Themenfeld: Internet
  Objekt: Yahoo! Answers
  
  
• 4
  Lewandowski, D. u. C. Maaß (Hrsg.): Web-2.0-Dienste als Ergänzung zu algorithmischen Suchmaschinen.Ergebnisse des Fachprojektes "Einbindung von Frage-Antwort-Diensten in die Web-Suche" am Department Information der Hochschule für Angewandte Wissenschaften Hamburg (WS 2007/2008).
  Berlin : Logos-Verl., 2008. IX, 189 S.
  ISBN 978-3-8325-1907-0
  
  Abstract: Mit sozialen Suchdiensten - wie z. B. Yahoo Clever, Lycos iQ oder Mister Wong - ist eine Ergänzung und teilweise sogar eine Konkurrenz zu den bisherigen Ansätzen in der Web-Suche entstanden. Während Google und Co. automatisch generierte Trefferlisten bieten, binden soziale Suchdienste die Anwender zu Generierung der Suchergebnisse in den Suchprozess ein. Vor diesem Hintergrund wird in diesem Buch der Frage nachgegangen, inwieweit soziale Suchdienste mit traditionellen Suchmaschinen konkurrieren oder diese qualitativ ergänzen können. Der vorliegende Band beleuchtet die hier aufgeworfene Fragestellung aus verschiedenen Perspektiven, um auf die Bedeutung von sozialen Suchdiensten zu schließen.
  
  Inhalt: Das Buchprojekt entstand im Rahmen des Forschungsprojektes Theseus (Teilprojekt Alexandria). - Als Online Publikation vgl.: http://www.bui.haw-hamburg.de/fileadmin/user_upload/lewandowski/Web20-Buch/lewandowski-maass.pdf. Rez. in: ZfBB 56(2009) H.2, S.134-135 (K. Lepsky)
  
  Themenfeld: Suchmaschinen ; Social tagging
  Objekt: Yahoo! Clever ; Lycos iQ
  
  RSWK: World Wide Web 2.0 / Suchmaschine
  BK: 05.38 / Neue elektronische Medien ; 06.74 / Informationssysteme
  RVK: ST 205