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Abstract

Presents a framework for the theoretical comparison of information retrieval models based on how the models decide aboutness. The framework is based on concepts emerging from the field of situation theory. So called infons and profons represent elementary information carriers which can be manipulated by unions and fusion operators. These operators allow relationships between information carriers to be established. Sets of infons form so called situations which are used to model the information born by objects such as documents. Demonstrates how an arbitrary information retrieval model can be mapped down into the framework with special functions defined for this purpose depending on the model at hand. 2 examples are given based on the Boolean retrieval and coordination level matching models. Starting from an axiomatization of aboutness, retrieval models can be compared according to which axioms they are governed by

Source

Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon

Type

a

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Abstract

Presents an integration of a novel approach in hypermedia, the query by navigation process, and a framework based on situation theory in which hyperindex modelling questions may be studied. The relevance ranking of documents is influenced by the way the user follows links in the hyperindex

Type

a

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Abstract

Addresses the notion of aboutness in information retrieval. Shows how aboutness relates to relevance. Summarizes how aboutness is defined in information retrieval models. Analyzes a model-theoretic definition of aboutness in an abstract setting using so called information fields. These allow properties of aboutness to be expressed independent of any given information retrieval model. Compares the Boolean and coordinate retrieval models. Employs preferential entailment and conditional probabilities to define aboutness between primitive information carriers. Highlights the nonmonotonic behaviour of aboutness under information composition. Analyzes a term aboutness definition drawn from a network based probabilistic framework. Draws conclusions about the implied retrieval effectiveness

Footnote

Contribution to a special issue on the application of artificial intelligence to information retrieval

Type

a

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Abstract

Theory about the question how relevant information can be distinguished from non-relevant information in view of a given need for information. The models used in this theory are based on concepts taken from situation theory