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
  Allan, J. ; Callan, J.P. ; Croft, W.B. ; Ballesteros, L. ; Broglio, J. ; Xu, J. ; Shu, H.: INQUERY at TREC-5.
  In: The Fifth Text Retrieval Conference (TREC-5). Ed.: E.M. Voorhees u. D.K. Harman. Gaithersburgh, MD : National Institute of Standards and Technology, 1997. S.191-197.
  (NIST special publication;)
  
  Themenfeld: Retrievalstudien
  Objekt: TREC ; INQUERY
  
  
• 2
  Allan, J. ; Ballesteros, L. ; Callan, J.P. ; Croft, W.B. ; Lu, Z.: Recent experiment with INQUERY.
  In: The Fourth Text Retrieval Conference (TREC-4). Ed.: K. Harman. Gaithersburgh, MD : National Institute of Standards and Technology, 1996. S.49-63.
  (NIST special publication; 500-236)
  
  Objekt: INQUERY ; TREC
  
  
• 3
  Rissland, E.L. ; Daniels, J.J.: ¬The synergistic application of CBR to IR.
  In: Artificial intelligence review. 10(1996) nos.5/6, S.441-475.
  
  Abstract: Discusses a hybrid approach combining case-based reasoning and information retrieval for the retrieval of full text documents. It takes as input a standard symbolic representation of a problem case and retrieves text of relevant cases from a document collection dramatically larger than the case base available to the CBR system. It works by performing a standard HYPO style analysis and uses the texts associated with important classes of cases found in this analysis to seed a modified version of INQUERY's relevance feedback mechanism in order to generate a query composed of individual terms or pairs of terms. It exteds the reach of CBR to much larger corpora, and it anbales the injection of knowledge based techniques into traditional IR. Describes the CBR-IR approach and reports on-going experiments
  
  Anmerkung: Contribution to a special issue on the application of artificial intelligence to information retrieval
  
  Themenfeld: Case Based Reasoning
  Objekt: INQUERY
  
  
• 4
  Croft, W.B.: Effective retrieval based on combining evidence from the corpus and users.
  In: IEEE expert. 10(1995) no.6, S.59-63.
  
  Abstract: Inquery is a text retrieval system that is the basis of a number of WWW applications, including the Thomas system supported by the Library of Congress. Surveys the representation, query processing, and retrieval techniques used in the system. By combining evidence about relevance from the corpus, individual documents, and users, Inquery achieves effective overall recall and precision evaluation while avoiding occasional major failures
  
  Anmerkung: Vgl. auch: http://ciir.cs.umass.edu/inqueryhomepage.html
  
  Objekt: Inquery
  
  
• 5
  Callan, J. ; Croft, W.B. ; Broglio, J.: TREC and TIPSTER experiments with INQUERY.
  In: Information processing and management. 31(1995) no.3, S.327-343.
  
  Anmerkung: Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.436-439.
  
  Themenfeld: Retrievalstudien
  Objekt: TREC ; TIPSTER ; INQUERY
  
  
• 6
  Jing, Y. ; Croft, W.B.: ¬An association thesaurus for information retrieval.
  In: ftp://128.119.41.114:2241... (UM-CS-19.PS).
  
  Abstract: Although commonly used in both commercial and experimental information retrieval systems, thesauri have not demonstrated consistent benefits for retrieval performance, and it is difficult to construct a thesaurus automatically for large text databases. In this paper, an approach, called PhraseFinder, is proposed to construct collection-dependent association thesauri automatically using large full-text document collections. The association thesaurus can be accessed through natural language queries in INQUERY, an information retrieval system based on the probabilistic inference network. Experiments are conducted in INQUERY to evaluate different types of association thesauri, and thesauri constructed for a variety of collections
  
  Anmerkung: Text ist abrufbar als PostScript File unter: http://ciir.cs.umass.edu/cgi-bin/web_dbnames/public
  
  Themenfeld: Konzeption und Anwendung des Prinzips Thesaurus
  Objekt: INQUERY