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Raghavan, Vijay V.; Wong, S. K. M. – Journal of the American Society for Information Science, 1986
Presents notations and definitions necessary to identify the concepts and relationships that are important in modelling information retrieval objects and processes in the context of vector spaces. Earlier work on the use of vector models is evaluated in terms of the concepts introduced and certain problems are identified. (Author/EM)
Descriptors: Information Retrieval, Mathematical Models, Relevance (Information Retrieval), Vectors (Mathematics)

Shaw, W. M., Jr. – Journal of the American Society for Information Science, 1986
The derivation of a general retrieval effectiveness measure is investigated. Inconsistencies in the definition of relative importance are resolved, and it is shown that the influence of the assigned weight on the effectiveness measure can produce counterintuitive results. An alternative effectiveness measure provided by the Marczewski-Steinhaus…
Descriptors: Evaluation Methods, Information Retrieval, Mathematical Models, Measurement Techniques

Yager, Ronald R. – Journal of the American Society for Information Science, 1987
Proposes an alternative methodology for handling queries with weighted search terms or search criteria in a fuzzy environment as a means of improving the performance of information retrieval systems. (EM)
Descriptors: Information Retrieval, Mathematical Models, Online Systems, Relevance (Information Retrieval)

Kwok, K. L. – Journal of the American Society for Information Science, 1985
Introduces a new model of viewing documents based on citing-cited relationship between them. Using Bayes' decision theory, it is shown how source document may be indexed and weighted by relevant cited document features, corresponding to one pass relevance feedback Model 1 (probabilistic indexing) or Model 2 (probabilistic retrieval). (24…
Descriptors: Citations (References), Feedback, Indexing, Information Retrieval

Robertson, S. E.; Harding, P. – Journal of Documentation, 1984
Presents adaptation of a probabilistic theoretical model previously used in relevance feedback for use in automatic indexing of documents (in the sense of imitating) human indexers. Methods for model application are proposed, independence assumptions used in the model are interpreted, and the probability of a dependence model is discussed.…
Descriptors: Automatic Indexing, Classification, Information Retrieval, Mathematical Models

Bartschi, Martin – Information Processing and Management, 1985
Presents a general mathematical framework for information retrieval, in which query evaluation is seen as a mapping from the free term algebra built by query descriptors and weights to the semantic algebra of evaluation value. Competing mathematical models that try to describe how retrieval systems behave are reviewed. (Author/MBR)
Descriptors: Algebra, Algorithms, Evaluation Methods, Information Retrieval

Kochen, Manfred – Information Processing and Management, 1984
Explores potential of mathematical theory of communication for information science and examines question of how to encode a message at time it is encountered for subsequent recall. Examples of problem, a prototype computer program and experiment, coding as embedding in associational nets, and nature of information are discussed. (Nine references.)…
Descriptors: Algorithms, Communication (Thought Transfer), Computer Software, Information Retrieval

Prade, Henri; Testemale, Claudette – Journal of the American Society for Information Science, 1987
Compares and expands upon two approaches to dealing with fuzzy relational databases. The proposed similarity measure is based on a fuzzy Hausdorff distance and estimates the mismatch between two possibility distributions using a reduction process. The consequences of the reduction process on query evaluation are studied. (Author/EM)
Descriptors: Comparative Analysis, Databases, Information Retrieval, Mathematical Models
Teskey, F. N. – 1986
This paper identifies the need for a new theory of information and develops a mathematical model which distinguishes between: (1) data, as directly observable facts; (2) information, as structured collections of data; and (3) knowledge, as methods of using information. The model is based on the ideas of the binary relational model and uses the…
Descriptors: Cognitive Psychology, Information Retrieval, Information Science, Information Theory

Gordon, Michael; Kochen, Manfred – Journal of the American Society for Information Science, 1989
Describes the recall precision trade-off in information retrieval as the deceleration in the proportion of relevant documents retrieved over time. Several mathematical functions sharing this property are examined and it is concluded that the equation that best models recall as a function of time is the logarithm of a quadratic equation. (21…
Descriptors: Equations (Mathematics), Functions (Mathematics), Logarithms, Mathematical Models

Jones, William P.; Furnas, George W. – Journal of the American Society for Information Science, 1987
Presents a model for the geometric analysis of the relationship between information queries and information systems retrieval, and demonstrates the utility of this analysis by its application to six conventional information retrieval similarity measures and a seventh spreading activation measure. (Author/CLB)
Descriptors: Geometric Concepts, Mathematical Models, Measurement Techniques, Relevance (Information Retrieval)

Weissmann, V. E. – Information Processing and Management, 1986
The approach of J. D. Sneed is used to argue for a distinction between theoretical and nontheoretical (or empirical) entities. Attention is directed toward this approach as an important facility for looking at statistics and for constructing a framework for the correct use of statistical theory in information retrieval experiments. (MBR)
Descriptors: Experiments, Information Retrieval, Information Science, Mathematical Models

Mazur, Zygmunt – Information Processing and Management, 1984
Investigates the properties of a global model consisting of "n" local information retrieval systems based on thesaurus. Definitions of a distributed information retrieval system (thesaurus, documents set, set of queries) and proofs of theorems denoting further properties of the systems are highlighted. Five references are included. (EJS)
Descriptors: Information Retrieval, Information Systems, Mathematical Formulas, Mathematical Models
Knowledge-Assisted Document Retrieval: I. The Natural-Language Interface. II. The Retrieval Process.

Biswas, Gautam; And Others – Journal of the American Society for Information Science, 1987
Two articles describe a model for processing natural-language queries in information retrieval systems. Part I proposes a language interface based on fuzzy set techniques to handle the uncertainty inherent in natural-language semantics. Part II develops a model of the retrieval system and describes an implementation using a knowledge-based systems…
Descriptors: Expert Systems, Language Processing, Mathematical Models, Online Searching

Crouch, Carolyn J. – Information Processing and Management, 1988
Describes the two basic approaches to the calculation of term discrimination values for automatic indexing. The results of an experiment that investigated the differences between algorithms of these two approaches in terms of their impact on the discrimination value model are reported and discussed. (13 references) (Author/CLB)
Descriptors: Algorithms, Automatic Indexing, Comparative Analysis, Computational Linguistics
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