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The data-document distinction revisited

Author:

David C. BlairAuthors Info & Claims

ACM SIGMIS Database: the DATABASE for Advances in Information Systems, Volume 37, Issue 1

Pages 77 - 96

https://doi.org/10.1145/1120501.1120507

Published: 31 January 2006 Publication History

Abstract

The Data Retrieval and Document Retrieval models have a number of differences which influence their design, use and management. This paper discusses the most prominent of these differences and shows that they all arise from the more fundamental problem of representational indeterminacy. Representational indeterminacy is a result of the effects of semantic ambiguity and system size. If the differences between the Data Retrieval and Document Retrieval models arise from the same problem then the models are not as distinct as they may have appeared. The Data Retrieval and Document Retrieval models are better seen as examples of information systems with lower and higher levels of representational indeterminacy. The paper concludes with a proposal for an operational definition of representational indeterminacy and a discussion of the role of context and system size in reducing high levels of indeterminacy.

References

[1]

Baker, G.P. and Hacker, P.M.S. (1985). Wittgenstein: Meaning and Understanding, Chicago: The Univ. of Chicago Press.

[2]

Bar-Hillel, Y. (1964). "Theoretical Aspects of the Mechanization of Literature Searching," Chapter 19 in Language and Information: Selected Essays on Their Theory and Application, London: Addison-Wesley.

[3]

Bischoff, J. and Alexander, T. (1997). Data Warehouse: Practical Advice from the Experts, Upper Saddle River, New Jersey: Prentice Hall.

Digital Library

[4]

Blair, D.C. (1990). Language and Representation in Information Retrieval, New York: Elsevier Science Publishers.

Digital Library

[5]

Blair, D.C. (2002a). "Knowledge Management: Hype, Hope or Help?" Journal of the American Society for Information Science and Technology, Vol.54, No.12, pp. 1019--1028.

Digital Library

[6]

Blair, D.C. (2002b). "The Challenge of Document Retrieval, Part I: Major Issues and a Framework Based on Search Exhaustivity, Determinacy of Representation and Document Collection Size," Information Processing and Management, Vol.38, pp. 273--291.

Digital Library

[7]

Blair, D.C. (2002c). "The Challenge of Document Retrieval, Part II: A Strategy for Document Searching Based on Identifiable Document Partitions," Information Processing and Management, Vol.38, pp. 293--304.

Digital Library

[8]

Blair, D.C. (1996). "STAIRS Redux: Thoughts on the STAIRS evaluation, Ten Years After," Journal of the American Society for Information Science, Vol.47, No.1, pp. 4--22.

Digital Library

[9]

Blair, D.C. (1999). "Logic, Determinacy of Sense and the Data Model," The Univ. of Michigan, working paper.

[10]

Blair, D.C. (1998). "The Revolution in Document Management: Corporate Memory or Information Landfill?" The Univ. of Michigan, working paper.

[11]

Blair, D.C. (1988). "An Extended Relational Document Retrieval Model," Information Processing and Management, Vol.24, No.3, pp. 349--371.

Digital Library

[12]

Blair, D.C. (1986). "Indeterminacy in the Subject Access to Documents," Information Processing and Management, Vol.22, No.2, pp. 229--241.

Digital Library

[13]

Blair, D.C. (1984). "The Data-Document Distinction in Information Retrieval," Communications of the ACM, Vol.27, No.4, pp. 369--374.

Digital Library

[14]

Blair, D.C. (1984). "The Management of Information: Basic Distinctions," Sloan Management Review, Vol.26, No.1, pp. 13--23.

[15]

Blair, D.C. (1980). "Searching Biases in Large, Interactive Document Retrieval Systems," Journal of the American Society for Information Science, Vol.31, No.4, pp. 271--277.

[16]

Blair, D.C. and Gordon, M. (1991). "The Management and Control of Written Information: Growing Concern Amid the Failure of Traditional Methods," Information and Management, Vol.20, pp. 239--246.

Digital Library

[17]

Blair, D.C. and Maron, M.E. (1985). "An Evaluation of Retrieval Effectiveness for a Full-Text Document Retrieval System," Communications of the ACM, Vol.28, No.3, pp. 289--297.

Digital Library

[18]

Cooper, W.S. (1973). "On Selecting a Measure of Retrieval Effectiveness, Part I: The 'Subjective' Philosophy of Evaluation," Journal of the American Society for Information Science, Vol.24, pp. 87--100.

[19]

Cooper, W.S. (1968). "Expected Search Length: A Single Measure of Retrieval Effectiveness Based on Weak Ordering Action of Retrieval Systems," Journal of the American Society for Information Science, Vol.19, pp. 30--41.

[20]

Cooper, W.S. and Chen, A. (1995). "Experiments in the Probabilistic Retrieval of Full Text Documents," TREC 3 (Text REtrieval Conference), National Institute of Standards and Technology, Gaithersburg, Maryland.

[21]

Cooper, W.S. and Maron, M.E. (1978). "Foundations of Probabilistic and Utility-Theoretic Indexing," Journal of the ACM, Vol.25, pp. 67--80.

Digital Library

[22]

Crestan, F., Lalmas, M., van Rijsbergen, C.J., and Campbell, I. (1998). "Is This Document Relevant?.Probably." ACM Computing Surveys, Vol.30, No.4, pp. 528--552.

Digital Library

[23]

The Economist (1992). "Organizing Offices: Under the Volcano", Vol.324, Iss.7775, p. 91.

[24]

Hacker, P.M.S. (1996). Wittgenstein's Place in 20th Century Analytic Philosophy, Cambridge, MA: Blackwell Publishers, Ltd.

[25]

Hurford, J.R. and Heasley, B. (1983). Semantics: A Coursebook, Cambridge, UK: Cambridge University Press.

[26]

Kaplan, S.J., Kapor, M.D., Belove, E.J., Landsman, R.A., and Drake, T.R. (1990). "AGENDA: A Personal Information Manager," Communications of the ACM, Vol.33, No.7, pp. 105--116.

Digital Library

[27]

Kahneman, D., Slovic, P., and Tversky, A. (1982). Judgement Under Uncertainty: Heuristics and Biases, Cambridge, UK: Cambridge University Press.

[28]

Kirk, D. (1992). "Document Management: Destined to be a Smash Hit," Infoworld, Vol.14, Iss.44, p. 52.

[29]

Langendoen, D.T. and Postal, P. (1984). The Vastness of Natural Languages, Oxford, UK: Basil Blackwell.

[30]

Lansdale, M.W., Young, D.R., and Bass, C.A. (1989). "MEMOIRS: A Personal Multimedia Information System," in Sutcliffe, A., and Macaulay, L. (Eds.), People and Computers, Cambridge: Cambridge University Press, pp. 315--330.

Digital Library

[31]

Lansdale, M.W. and Edmonds, E. (1992). "Using Memory for Events in the Design of Personal Filing Systems," International Journal of Man-Machine Studies, Vol.36, pp. 97--126.

Digital Library

[32]

Maron, M.E. (1977). "On Indexing, Retrieval and the Meaning of About," Journal of the American Society for Information Science, Vol.28, pp. 38--43.

[33]

Maron, M.E. (1966). "Relational Data File I: Design Philosophy," in Schecter, M.G. (Ed.), Information Retrieval: A Critical View, Washington, D.C.: Thompson Book Co.

[34]

Maron, M.E. and Kuhns, J.L. (1960). "On Relevance, Probabilistic Indexing and Information Retrieval," Journal of the ACM, Vol.7, pp. 216--244.

Digital Library

[35]

Peirce, C.S. (1955). "Logic as Semiotic: The Theory of Signs," in Buchler, J. (Ed.), Philosophical Writings of Peirce, New York: Dover Publications.

[36]

Resnikoff, H.L. (1978). "The National Need for Research in Information Science," STI Issues and Options Workshop, House Subcommittee on Science, Research and Technology, Washington, D.C.

[37]

Robertson, S.E., Maron, M.E., and Cooper, W.S. (1982). "Probability of relevance: a Unification of Two Competing Models for Document Retrieval," Information Technology: Research and Development, Vol.1, pp. 1--21.

[38]

Salton, G. (1989). Automatic Text Processing, Reading, PA: Addison-Wesley.

Digital Library

[39]

Swanson, D. (1977). "Information Retrieval as a Trial-and-Error Process," Library Quarterly, Vol.47, No.2, pp. 128--148.

[40]

Swanson, D. (1966). "Studies of Indexing Depth and Retrieval Effectiveness," Unpublished report, National Science Foundation Grant GN 380, p. 9.

[41]

Tague-Sutcliffe, J. (1995). Measuring Information: An Information Services Perspective, San Diego, CA: Academic Press.

[42]

Tufte, E.R. (1992). The Visual Display of Quantitative Information, Cheshire, CT: Graphics Press.

Digital Library

[43]

van Rijsbergen, C.J. (1979). Information Retrieval (2nd edition), London: Butterworths.

Digital Library

[44]

Winston, P. (1992). Artificial Intelligence (3rd edition), Reading, MA: Addison-Wesley.

Digital Library

[45]

Wittgenstein, L. (2001). Philosophical Investigations (3rd edition), translated by G.E.M. Anscombe, Oxford: Blackwell.

[46]

Wittgenstein, L. (1961). Tractatus, Logico-Philosophicus, translated by D.F. Pears & B.F. McGuinness, London: Routledge & Kegan Paul.

Digital Library

[47]

Zipf, G.K. (1965). Human Behavior and the Principle of Least-Effort, New York: Hafner Publishing Co. (facsimile of the 1949 edition).

Cited By

Day R(2023)Documentation to Documentality in the works of Michael BucklandJournal of Documentation10.1108/JD-04-2023-006680:3(606-617)Online publication date: 23-Aug-2023
https://doi.org/10.1108/JD-04-2023-0066
Wang L(2018)Twinning data science with information science in schools of library and information scienceJournal of Documentation10.1108/JD-02-2018-003674:6(1243-1257)Online publication date: 8-Oct-2018
https://doi.org/10.1108/JD-02-2018-0036
Schuff DCorral KSt. Louis RSchymik G(2018)Enabling self-service BIInformation Systems Frontiers10.1007/s10796-016-9722-220:2(275-288)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.1007/s10796-016-9722-2
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Index Terms

The data-document distinction revisited
1. Information systems
  1. Information retrieval
  2. Information storage systems

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cover image ACM SIGMIS Database: the DATABASE for Advances in Information Systems

ACM SIGMIS Database: the DATABASE for Advances in Information Systems Volume 37, Issue 1

Winter 2006

104 pages

ISSN:0095-0033

EISSN:1532-0936

DOI:10.1145/1120501

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Copyright © 2006 Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 January 2006

Published in SIGMIS Volume 37, Issue 1

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Cited By

Day R(2023)Documentation to Documentality in the works of Michael BucklandJournal of Documentation10.1108/JD-04-2023-006680:3(606-617)Online publication date: 23-Aug-2023
https://doi.org/10.1108/JD-04-2023-0066
Wang L(2018)Twinning data science with information science in schools of library and information scienceJournal of Documentation10.1108/JD-02-2018-003674:6(1243-1257)Online publication date: 8-Oct-2018
https://doi.org/10.1108/JD-02-2018-0036
Schuff DCorral KSt. Louis RSchymik G(2018)Enabling self-service BIInformation Systems Frontiers10.1007/s10796-016-9722-220:2(275-288)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.1007/s10796-016-9722-2
Vázquez-Reyes Sde León-Sigg MVelasco-Elizondo PVilla-Cisneros JBriceño-Muro S(2016)The Use of Inverted Index to Information Retrieval: ADD Intelligent in Aviation Case StudyTrends and Applications in Software Engineering10.1007/978-3-319-48523-2_20(211-220)Online publication date: 9-Oct-2016
https://doi.org/10.1007/978-3-319-48523-2_20
Atwan JMohd MRashaideh HKanaan G(2015)Semantically enhanced pseudo relevance feedback for Arabic information retrievalJournal of Information Science10.1177/016555151559472242:2(246-260)Online publication date: 9-Jul-2015
https://doi.org/10.1177/0165551515594722
Atwan JMohd MKanaan GBsoul Q(2014)Impact of Stemmer on Arabic Text RetrievalInformation Retrieval Technology10.1007/978-3-319-12844-3_27(314-326)Online publication date: 2014
https://doi.org/10.1007/978-3-319-12844-3_27
Simeoni FCandela LKakaletris GSibeko MPagano PPapanikos GPolydoras PIoannidis YAarvaag DCrestani F(2007)A grid-based infrastructure for distributed retrievalProceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries10.5555/2392444.2392463(161-173)Online publication date: 16-Sep-2007
https://dl.acm.org/doi/10.5555/2392444.2392463
Simeoni FCandela LKakaletris GSibeko MPagano PPapanikos GPolydoras PIoannidis YAarvaag DCrestani F(2007)A Grid-Based Infrastructure for Distributed RetrievalResearch and Advanced Technology for Digital Libraries10.1007/978-3-540-74851-9_14(161-173)Online publication date: 2007
https://doi.org/10.1007/978-3-540-74851-9_14

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