Document (#38400)

Author

Hjoerland, B.

Title

Classical databases and knowledge organisation : a case for Boolean retrieval and human decision-making during search

Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

Imprint

Würzburg : Ergon Verlag

Year

2014

Pages

S.13

Series

Advances in knowledge organization; vol. 14

Abstract

This paper considers classical bibliographic databases based on the Boolean retrieval model (for example MEDLINE and PsycInfo). This model is challenged by modern search engines and information retrieval (IR) researchers, who often consider Boolean retrieval as a less efficient approach. This speech examines this claim and argues for the continued value of Boolean systems, which implies two further issues: (1) the important role of human expertise in searching (expert searchers and "information literacy") and (2) the role of knowledge organization (KO) in the design and use of classical databases, including controlled vocabularies and human indexing. An underlying issue is the kind of retrieval system for which one should aim. It is suggested that Julian Warner's (2010) differentiation between the computer science traditions, aiming at automatically transforming queries into (ranked) sets of relevant documents, and an older library-orientated tradition aiming at increasing the "selection power" of users seems important. The Boolean retrieval model is important in order to provide users with the power to make informed searches and have full control over what is found and what is not found. These issues may also have important implications for the maintenance of information science and KO as research fields as well as for the information profession as a profession in its own right.

Footnote

Abstract only: The paper will be published in JASIST

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4. Mohan, K.C.: Boolean and nearest neighbour text searching in a multi-strategy retrieval system (1996) 0.19

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5. Marchionini, G.: Toward Human-Computer Information Retrieval (2006) 0.18

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