-
Efthimiadis, E.N.: End-users' understanding of thesaural knowledge structures in interactive query expansion (1994)
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- Date
- 30. 3.2001 13:35:22
- Source
- Knowledge organization and quality management: Proc. of the 3rd International ISKO Conference, 20-24 June 1994, Copenhagen, Denmark. Ed.: H. Albrechtsen et al
-
Efthimiadis, E.N.: User choices : a new yardstick for the evaluation of ranking algorithms for interactive query expansion (1995)
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- Date
- 22. 2.1996 13:14:10
- Source
- Information processing and management. 31(1995) no.4, S.605-620
-
Hancock-Beaulieu, M.: Interactive query expansion in an OPAC : interface and retrieval issues (1995)
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- Source
- Journal of document and text management. 3(1995) no.2, S.172-185
-
Talja, S.; Keso, H.; Pietilainen, T.: ¬The production of context in information seeking research : a metatheoretical view (1999)
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- Source
- Information processing and management. 35(1999) no.6, S.751-763
-
Oakes, M.P.; Taylor, M.J.: Automated assistance in the formulation of search statements for bibliographic databases (1998)
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- Information processing and management. 34(1998) no.6, S.645-668
-
Efthimiadis, E.N.: Approaches to search formulation and query expansion in information systems : DRS, DBMS, ES (1992)
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- Abstract
- Discusses the ways in which systems and/or users formulate and reformulate searches in documents retrieval systems (DRS), database management systems (DBMS) and expert systems (ES). Concludes that query formulation and reformulation has been neglected in these fields
-
Srinivasan, P.: Query expansion and MEDLINE (1996)
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- Source
- Information processing and management. 32(1996) no.4, S.431-443
-
Fieldhouse, M.; Hancock-Beaulieu, M.: ¬The design of a graphical user interface for a highly interactive information retrieval system (1996)
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- Source
- Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
-
Chang, C.-H.; Hsu, C.-C.: Integrating query expansion and conceptual relevance feedback for personalized Web information retrieval (1998)
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- Date
- 1. 8.1996 22:08:06
-
Lund, K.; Burgess, C.; Atchley, R.A.: Semantic and associative priming in high-dimensional semantic space (1995)
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- Source
- Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society: July 22 - 25, 1995, University of Pittsburgh / ed. by Johanna D. Moore and Jill Fain Lehmann
-
Magennis, M.: Expert rule-based query expansion (1995)
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- Source
- New review of document and text management. 1995, no.1, S.63-83
-
Robertson, S.E.; Walker, S.; Hancock-Beaulieu, M.M.: Large test collection experiments of an operational, interactive system : OKAPI at TREC (1995)
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- Source
- Information processing and management. 31(1995) no.3, S.345-360
-
Järvelin, K.; Kristensen, J.; Niemi, T.; Sormunen, E.; Keskustalo, H.: ¬A deductive data model for query expansion (1996)
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- Source
- Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR '96), Zürich, Switzerland, August 18-22, 1996. Eds.: H.P. Frei et al
-
Fidel, R.; Efthimiadis, E.N.: Terminological knowledge structure for intermediary expert systems (1995)
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- Source
- Information processing and management. 31(1995) no.1, S.15-27
-
Buckley, C.; Allan, J.; Salton, G.: Automatic routing and retrieval using Smart : TREC-2 (1995)
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- Source
- Information processing and management. 31(1995) no.3, S.315-326
-
Järvelin, K.; Niemi, T.: Deductive information retrieval based on classifications (1993)
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- Abstract
- Modern fact databses contain abundant data classified through several classifications. Typically, users msut consult these classifications in separate manuals or files, thus making their effective use difficult. Contemporary database systems do little support deductive use of classifications. In this study we show how deductive data management techniques can be applied to the utilization of data value classifications. Computation of transitive class relationships is of primary importance here. We define a representation of classifications which supports transitive computation and present an operation-oriented deductive query language tailored for classification-based deductive information retrieval. The operations of this language are on the same abstraction level as relational algebra operations and can be integrated with these to form a powerful and flexible query language for deductive information retrieval. We define the integration of these operations and demonstrate the usefulness of the language in terms of several sample queries
