Abstract
This article proposes a framework, a so called information field, which allows information retrieval mechanisms to be compared inductively instead of experimentally. Such a comparison occurs as follows: Both retrieval mechanisms are first mapped to an associated information field. Within the field, the axioms that drive the retrieval process can be filtered out. Tn this way, the implicit assumptions governing an information retrieval mechanism can be brought to light. The retrieval mechanisms can then be compared according to which axioms they are governed by. Using this method it is shown that Boolean retrieval is more powerful than a strict form of coordinate retrieval. The salient point is not this result in itself, but how the result was achieved.
This work was performed while at Utrecht University
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
J. Barwise and J. Etchemendy. Information, Infons, and Inference. In R. Cooper, K. Mukai, and J. Perry, editors, Situation Theory and its Applications, volume 1 of CSLI Lecture Note Series, pages 33–78. CSLI, 1990.
P.D. Bruza. Stratified Information Disclosure: A Synthesis between Information Retrieval and Hypermedia. PhD thesis, University of Nijmegen, 1993.
P.D. Bruza and L.C. van der Gaag. Efficient Context-Sensitive Plausible Inference for Information Disclosure. In Proceedings of the Sixteenth ACM SIGIR Conference on Research and Development in Information Retrieval, pages 12–21, 1993.
P.D. Bruza and L.C. van der Gaag. Index Expression Belief Networks for Information Disclosure. International Journal of Expert Systems, 1994. (To appear).
J.P. Callan and W. Bruce Croft. An Evaluation of Query Processing Strategies using the TIPSTER collection. In Proceedings of the Sixteenth ACM SIGIR Conference on Research and Development in Information Retrieval, pages 347–355, 1993.
Y. Chiaramella and J. Nie. A Retrieval Model based on an Extended Modal Logic and its Application to the RIME Experimental Approach. In Proceedings of the 13th International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 25–43, 1990.
Y. Chiarmarella and J.P. Chevallet. About Retrieval Models and Logic. The Computer Journal, 35 (3): 233–242, 1992.
W.S. Cooper. A Definition of Relevance for Information Retrieval. Information Storage and Retrieval, 7: 19–37, 1971.
J. Farradane. Relational Indexing Part I. Journal of Information Science, 1 (5): 267–276, 1980.
S. Krauss, D. Lehmann, and M. Magidor. Nonmonotonic Reasoning, Preferential Models and Cumulative Logics. Artificial Intelligence, 44: 167–207, 1990.
F. Landman. Towards a Theory of Information. Foris, 1986.
M. Meghini, F. Sebastiani, U. Straccia, and C. Thanos. A Model of information Retrieval based on Terminological Logic. In Proceedings of the Sixteenth ACM SIGIR Conference on Research and Development in Information Retrieval, pages 298–307, 1993.
J. Nie. An Outline of a General Model for Information Retrieval Systems. In Proceedings of the Ninth ACM SIGIR Conference on Research and Development in Information Retrieval,pages 495–506,1986.
C.J. van Rijsbergen. A New Theoretical Framework for Information Retrieval. In Proceedings of the Ninth International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 194–200, 1986.
C.J. van Rijsbergen. A non-classical logic for information retrieval. The Computer Journal, 29 (6): 481–485, 1986.
G. Salton, J. Allan, and C. Buckley. Approaches to Passage Retrieval in Full Text Information Systems. In Proceedings of the Sixteenth ACM SIGIR Conference on Research and Development in Information Retrieval, pages 49–58, 1993.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1994 Springer-Verlag London Limited
About this paper
Cite this paper
Bruza, P.D., Huibers, T.W.C. (1994). Investigating Aboutness Axioms using Information Fields. In: Croft, B.W., van Rijsbergen, C.J. (eds) SIGIR ’94. Springer, London. https://doi.org/10.1007/978-1-4471-2099-5_12
Download citation
DOI: https://doi.org/10.1007/978-1-4471-2099-5_12
Publisher Name: Springer, London
Print ISBN: 978-3-540-19889-5
Online ISBN: 978-1-4471-2099-5
eBook Packages: Springer Book Archive