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Date

22. 7.2006 18:55:29

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Date

22. 7.2006 18:55:55

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Abstract

This paper presents a mathematical model of an information retrieval system thought to be general enough to serve as an abstract representation of most document and reference retrieval systems. The model is made up of four components that, in one form or another, appear in every functioning system. It is proved that the basic organization of documents that the system provides for a user on receipt of a request follows from the properties and interrelations of the four components. Each component is then discussed in turn and it is seen that much of the existing theory regarding information systems can be viewed as an elaboration of this model

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Abstract

Information Retrieval Systems identify content bearing words, and possibly also assign weights, as part of the process of formulating requests. For optimal retrieval efficiency, it is desirable that this be done automatically. This article defines the notion of serial clustering of words in text, and explores the value of such clustering as an indicator of a word's bearing content. This approach is flexible in the sense that it is sensitive to context: a term may be assessed as content-bearing within one collection, but not another. Our approach, being numerical, may also be of value in assigning weights to terms in requests. Experimental support is obtained from natural text databases in three different languages

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Abstract

This article concerns the problem of how to permit a patron tp represent the relatice importance of various index terms in a Boolean request while retaining the desirable properties of a Boolean system. The character of classical Boolean systems is reviewed and related to the notion of fuzzy sets. The fuzzy set concept then forms the basis of the concept of a fuzzy request in which weights are assigned to index terms. The properties of such a system are discussed, and it is shown that such systems retain the manipulability of traditional Boolena requests

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Abstract

One of the most surprising findings in the information sciences is the recurrence of a small number of frequency distributions. In this paper, these distributions are described, and a point of view is adopted that allows us to understand them a being different versions of a single distribution. The empirical distributions are shown to be special cases of a single theoretic distribution. It is found that when random fluctuations are introduced, the distributions are not strongly influenced

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Abstract

This article examines various kinds of uncertainty. The notion of ambiguity is defined and contratsed with the more familiar notions of randomness and fuzziness. Functional forms resistant to ambiguity are defined, and it is shown how to incorporate a random component, that is itself also rsistant to ambiguity, into a resilent, but deterministic model

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Abstract

Because of concerns about the privacy of its patrons, it is common for libraries to systematically destroy historic information about book circulation. I argue that this information has great potential value for improving retrieval effectiveness, and give 2 examples of how this information can be used. Further, I show how use-data can be preserved and exploited while still giving a high degree of protection for patron privacy. The methods are analyzed and formulae are derived indicating the tradeoff between retrieval effectiveness and security. A second, contrasting application, indicating how to introduce 'fingerprints' into digitized audio-visual material in a tamper-resistant manner, is described