INQUERY

The INQUERY Retrieval System. As larger and more heterogeneous text databases become available, information retrieval research will depend on the development of powerful, efficient and flexible retrieval engines. In this paper, we describe a retrieval system (INQUERY) that is based on a probabilistic retrieval model and provides support for sophisticated indexing and complex query formulation. INQUERY has been used successfully with databases containing nearly 400,000 documents.


References in zbMATH (referenced in 21 articles )

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  1. Paltoglou, Georgios; Salampasis, Michail; Satratzemi, Maria: Collection-integral source selection for uncooperative distributed information retrieval environments (2010) ioport
  2. Murdock, Vanessa: Ellen Voorhees and Donna Harman (eds): TREC experiment and evaluation in information retrieval. MIT Press, Cambridge, 2005, 462 pp, Price: $45.00, ISBN: 0262220733 (2008) ioport
  3. Simitsis, Alkis; Koutrika, Georgia; Ioannidis, Yannis: Précis: From unstructured keywords as queries to structured databases as answers (2008) ioport
  4. Talvensaari, Tuomas; Pirkola, Ari; Järvelin, Kalervo; Juhola, Martti; Laurikkala, Jorma: Focused web crawling in the acquisition of comparable corpora (2008) ioport
  5. Liu, Zhenyu; Chu, Wesley W.: Knowledge-based query expansion to support scenario-specific retrieval of medical free text (2007) ioport
  6. Ahlgren, Per; Kekäläinen, Jaana: Swedish full text retrieval: effectiveness of different combinations of indexing strategies with query terms (2006) ioport
  7. Fragos, Kostas; Maistros, Yannis: A goodness of fit test approach in information retrieval (2006) ioport
  8. Lertnattee, Verayuth; Theeramunkong, Thanaruk: Class normalization in centroid-based text categorization (2006)
  9. Suomela, Sari; Kekäläinen, Jaana: User evaluation of ontology as query construction tool (2006) ioport
  10. Piwowarski, Benjamin; Gallinari, Patrick: A Bayesian framework for XML information retrieval: searching and learning with the INEX collection (2005) ioport
  11. Piwowarski, Benjamin; Gallinari, Patrick: A Bayesian framework for XML information retrieval: searching and learning with the inex collection (2005) ioport
  12. Ashley, Kevin D.; Rissland, Edwina L.: Law, learning and representation (2003)
  13. Krovetz, R.: Viewing morphology as an inference process (2000)
  14. Lesser, V.; Horling, B.; Klassner, F.; Raja, A.; Wagner, T.: BIG: An agent for resource-bounded information gathering and decision making (2000)
  15. Petrakis, Euripides G. M.; Tzeras, Kostas: Similarity searching in the CORDIS text database (2000)
  16. Müller, A. A.: Abductive retrieval of structured documents (1997)
  17. Qingyi, Hua; Boecker, Heinz Dieter; Cheng, Dong: A prototypical 3D graphical visualizer for object-oriented systems. (1996) ioport
  18. Rissland, Edwin L.; Daniels, Jody J.: The synergistic application of CBR to IR. (1996) ioport
  19. Vasanthakumar, S. R.; Callan, James P.; Croft, W. Bruce: Integrating INQUERY with an RDBMS to support text retrieval. (1996) ioport
  20. Loui, Ronald Prescott: Foucault, derrida, women’s speaking justified, and modelling legal argument. (1995) ioport

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