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Cited by 717Information Retrieval and Search BehaviorRecommender Systems and TechniquesLibrary Science and Information Literacy

The DOI matches its Crossref record; 83 of the 87 references it cites were found in a registry or an index.

COGNITIVE PERSPECTIVES OF INFORMATION RETRIEVAL INTERACTION: ELEMENTS OF A COGNITIVE IR THEORY

INGWERSEN, PETER·1996·Journal of Documentation
DOI 10.1108/eb026960
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Abstract

The objective of the paper is to amalgamate theories of text retrieval from various research traditions into a cognitive theory for information retrieval interaction. Set in a cognitive framework, the paper outlines the concept of polyrepresentation applied to both the user's cognitive space and the information space of IR systems. The concept seeks to represent the current user's information need, problem state, and domain work task or interest in a structure of causality. Further, it implies that we should apply different methods of representation and a variety of IR techniques of different cognitive and functional origin simultaneously to each semantic full‐text entity in the information space. The cognitive differences imply that by applying cognitive overlaps of information objects, originating from different interpretations of such objects through time and by type, the degree of uncertainty inherent in IR is decreased. Polyrepresentation and the use of cognitive overlaps are associated with, but not identical to, data fusion in IR. By explicitly incorporating all the cognitive structures participating in the interactive communication processes during IR, the cognitive theory provides a comprehensive view of these processes. It encompasses the ad hoc theories of text retrieval and IR techniques hitherto developed in mainstream retrieval research. It has elements in common with van Rijsbergen and Lalmas' logical uncertainty theory and may be regarded as compatible with that conception of IR. Epistemologically speaking, the theory views IR interaction as processes of cognition, potentially occurring in all the information processing components of IR, that may be applied, in particular, to the user in a situational context. The theory draws upon basic empirical results from information seeking investigations in the operational online environment, and from mainstream IR research on partial matching techniques and relevance feedback. By viewing users, source systems, intermediary mechanisms and information in a global context, the cognitive perspective attempts a comprehensive understanding of essential IR phenomena and concepts, such as the nature of information needs, cognitive inconsistency and retrieval overlaps, logical uncertainty, the concept of ‘document’, relevance measures and experimental settings. An inescapable consequence of this approach is to rely more on sociological and psychological investigative methods when evaluating systems and to view relevance in IR as situational, relative, partial, differentiated and non‐linear. The lack of consistency among authors, indexers, evaluators or users is of an identical cognitive nature. It is unavoidable, and indeed favourable to IR. In particular, for full‐text retrieval, alternative semantic entities, including Salton et al .'s ‘passage retrieval’, are proposed to replace the traditional document record as the basic retrieval entity. These empirically observed phenomena of inconsistency and of semantic entities and values associated with data interpretation support strongly a cognitive approach to IR and the logical use of polyrepresentation, cognitive overlaps, and both data fusion and data diffusion.

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4 of the 87 references couldn’t be matched to a known paper.

Research works printed but not linked: 33

  1. VAN RIJSBERGEN C., 1990, Conference Informatienvetenschap in Nederland. Den Haag: Rabin, 20
  2. DE MEY M., 1980, Mansell: London, 48
  3. SPARCK JONES K., 1989, Retrieving information or answering questions. The 8th British Annual Research Lecture
  4. KUHLTHAU C., 1993, Seeking meaning
  5. RASMUSSEN J., 1992, Cognitive engineering: concepts and applications
  6. BELKIN N.J., 1985, Interaction in information systems
  7. 10.1002/(SICI)1097-4571(199404)45:3<142::AID-ASI4>3.0.CO;2-6 · DOI
  8. 10.1002/(SICI)1097-4571(199404)45:3<149::AID-ASI5>3.0.CO;2-J · DOI
  9. BRITTAIN J.M., 1982, The Social Sciences: the supply and demandfor documentation and data
  10. MARTYN J, 1974, ARIST, 9, 3
  11. TENOPIR C., 1994, Online, 31
  12. MACKAY D.M, 1960, The Listener, 63, 789
  13. DERVIN B., 1986, ARIST, 21, 3
  14. HJ LAND, 1993, Emnereprcesentation og informationssogning. Bidrag til en teori på kundskabsteoretisk grundlag
  15. INGWERSEN P., 1986, Intelligent information systems.
  16. SARACEVIC T., 1990, ASIS Proceedings, 47
  17. INGWERSEN P., 1994, 17th ACM-SIGIR Conference Proceedings, 1994, 101
  18. EFTHIMIADES E.N., 1993, 16th ACM-SIGIR Conference Proceedings, 1993, 146
  19. MORITA M., 1994, 17th ACM-SIGIR Conference Proceedings, 1994, 272
  20. TURTLE H., 1990, ed. ACM-SIGIR Conference Proceedings, 1990, 1
  21. HVONEN M., 1995, 18th ACM-SIGIR Conference Proceedings
  22. TELL B, 1969, ASIS Proceedings, 6, 285
  23. HJORTGAARD CHRISTENSEN F., 1995, 5th International Conference on Scientometrics and Informetrics, 103
  24. VAN RUSBERGEN C., 1992, Information Retrieval. Computer Journal, 35, 193
  25. BELKIN N.J., 1987, ARIST, 22, 109
  26. ATHERTON-COCHRANE P., 1979, Books arefor use:finalreport of the Subject Access Project
  27. WORMELL I., 1985, Subject Access Project - SAP: improved subject retrieval for monographic publications
  28. GIBB F, 1993, Journal of Document and Text Management, 2, 131
  29. FRITH A.R., 1993, Journal of Document and Text Management, 2, 155
  30. SPARCK JONES K., 1995, January-April
  31. SCHMELTZ PEDERSEN G., 1993, 16th ACM-SIGIR Conference Proceedings, 1993, 270
  32. PEJTERSEN A.M., 1991, Interfaces based on associative semantics for browsing in information retrieval
  33. KANTOR P.B., 1992, Proceedings of the 13th National Online Meeting, 147

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Metadata

Authors
INGWERSEN, P.
Corresponding author
INGWERSEN, PETER
ORCID
INGWERSEN, PETER
Venue
Journal of Documentation
Publisher
Emerald
Published
1996-01-01
Volume
52
Issue
1
Pages
3-50
ISSN
0022-0418 (ISSN-L)
DOI
10.1108/eb026960
OpenAlex
W2008883775
Cited by
717
References
87
Citations by year
2026: 12 · 2025: 7 · 2024: 12 · 2023: 19 · 2022: 16 · 2021: 14 · 2020: 14 · 2019: 24 · 2018: 22 · 2017: 20 · 2016: 34 · 2015: 29 · 2014: 40 · 2013: 29 · 2012: 34
FWCI
48.17
Type
journal article
Language
en
Open access
closed
Licence
www.emerald.com/insight/site-policies (tdm)
Locations
  • Journal of Documentation (publishedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
  • Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
  • Social Sciences › Library and Information Sciences › Library Science and Information Literacy
Keywords
information needs, cognitive inconsistency, relevance feedback, partial matching, data fusion, full-text search, passage retrieval, information seeking, relevance measures, information space, concept of document

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